ERC FUNDED PROJECTS

Climate change and the decreasing availability of fossil fuels require society to move towards sustainable and renewable resources. 2DNanoCaps will focus on electrochemical energy storage, specifically supercapacitors. In terms of performance supercapacitors fill up the gap between batteries and the classical capacitors. Whereas batteries possess a high energy density but low power density, supercapacitors possess high power density but low energy density. Efforts are currently dedicated to move supercapacitors towards high energy density and high power density performance. Improvements have been achieved in the last few years due to the use of new electrode nanomaterials and the design of new hybrid faradic/capacitive systems. We recognize, however, that we are reaching a newer limit beyond which we will only see small incremental improvements. The main reason for this being the intrinsic difficulty in handling and processing materials at the nano-scale and the lack of communication across different scientific disciplines. I plan to use a multidisciplinary approach, where novel nanomaterials, existing knowledge on nano-scale processing and established expertise in device fabrication and testing will be brought together to focus on creating more efficient supercapacitor technologies. 2DNanoCaps will exploit liquid phase exfoliated two-dimensional nanomaterials such as transition metal oxides, layered metal chalcogenides and graphene as electrode materials. Electrodes will be ultra-thin (capacitance and thickness of the electrodes are inversely proportional), conductive, with high dielectric constants. Intercalation of ions between the assembled 2D flakes will be also achievable, providing pseudo-capacitance. The research here proposed will be initially based on fundamental laboratory studies, recognising that this holds the key to achieving step-change in supercapacitors, but also includes scaling-up and hybridisation as final objectives.

1 501 296 €

Start date: 2011-10-01, End date: 2016-09-30

"This proposal develops a unified, underpinning technology to create novel, complex and biomimetic 3D environments for the control of tissue growth. As director of Cambridge Centre for Medical Materials, I have recently been approached by medical colleagues to help to solve important problems in the separate therapeutic areas of breast cancer, cardiac disease and blood disorders. In each case, the solution lies in complex 3D engineered environments for cell culture. These colleagues make it clear that existing 3D scaffolds fail to provide the required complex orientational and spatial anisotropy, and are limited in their ability to impart appropriate biochemical and mechanical cues. I have a strong track record in this area. A particular success has been the use of a freeze drying technology to make collagen based porous implants for the cartilage-bone interface in the knee, which has now been commercialised. The novelty of this proposal lies in the broadening of the established scientific base of this technology to enable biomacromolecular structures with: (A) controlled and complex pore orientation to mimic many normal multi-oriented tissue structures (B) compositional and positional control to match varying local biochemical environments, (C) the attachment of novel peptides designed to control cell behaviour, and (D) mechanical control at both a local and macroscopic level to provide mechanical cues for cells. These will be complemented by the development of (E) robust characterisation methodologies for the structures created. These advances will then be employed in each of the medical areas above. This approach is highly interdisciplinary. Existing working relationships with experts in each medical field will guarantee expertise and licensed facilities in the required biological disciplines. Funds for this proposal would therefore establish a rich hub of mutually beneficial research and opportunities for cross-disciplinary sharing of expertise."

2 486 267 €

Start date: 2013-04-01, End date: 2018-03-31

My vision is to establish, within the framework of an ERC CoG, a multidisciplinary group which will work in concert towards pioneering the integration of novel 2-Dimensional nanomaterials with novel additive fabrication techniques to develop a unique class of energy storage devices. Batteries and supercapacitors are two very complementary types of energy storage devices. Batteries store much higher energy densities; supercapacitors, on the other hand, hold one tenth of the electricity per unit of volume or weight as compared to batteries but can achieve much higher power densities. Technology is currently striving to improve the power density of batteries and the energy density of supercapacitors. To do so it is imperative to develop new materials, chemistries and manufacturing strategies. 3D2DPrint aims to develop micro-energy devices (both supercapacitors and batteries), technologies particularly relevant in the context of the emergent industry of micro-electro-mechanical systems and constantly downsized electronics. We plan to use novel two-dimensional (2D) nanomaterials obtained by liquid-phase exfoliation. This method offers a new, economic and easy way to prepare ink of a variety of 2D systems, allowing to produce wide device performance window through elegant and simple constituent control at the point of fabrication. 3D2DPrint will use our expertise and know-how to allow development of advanced AM methods to integrate dissimilar nanomaterial blends and/or “hybrids” into fully embedded 3D printed energy storage devices, with the ultimate objective to realise a range of products that contain the above described nanomaterials subcomponent devices, electrical connections and traditional micro-fabricated subcomponents (if needed) ideally using a single tool.

2 499 942 €

Start date: 2016-10-01, End date: 2021-09-30

The rupture of an Aortic Aneurysm (AA), which is often lethal, is a mechanical phenomenon that occurs when the wall stress state exceeds the local strength of the tissue. Our current understanding of arterial rupture mechanisms is poor, and the physics taking place at the microscopic scale in these collagenous structures remains an open area of research. Understanding, modelling, and quantifying the micro-mechanisms which drive the mechanical response of such tissue and locally trigger rupture represents the most challenging and promising pathway towards predictive diagnosis and personalized care of AA. The PI's group was recently able to detect, in advance, at the macro-scale, rupture-prone areas in bulging arterial tissues. The next step is to get into the details of the arterial microstructure to elucidate the underlying mechanisms. Through the achievements of AArteMIS, the local mechanical state of the fibrous microstructure of the tissue, especially close to its rupture state, will be quantitatively analyzed from multi-photon confocal microscopy and numerically reconstructed to establish quantitative micro-scale rupture criteria. AArteMIS will also address developing micro-macro models which are based on the collected quantitative data. The entire project will be completed through collaboration with medical doctors and engineers, experts in all required fields for the success of AArteMIS. AArteMIS is expected to open longed-for pathways for research in soft tissue mechanobiology which focuses on cell environment and to enable essential clinical applications for the quantitative assessment of AA rupture risk. It will significantly contribute to understanding fatal vascular events and improving cardiovascular treatments. It will provide a tremendous source of data and inspiration for subsequent applications and research by answering the most fundamental questions on AA rupture behaviour enabling ground-breaking clinical changes to take place.

1 499 783 €

Start date: 2015-04-01, End date: 2020-03-31

With the recognition that wind energy will become an important contributor to the world’s energy portfolio, several wind farms with a capacity of over 1 gigawatt are in planning phase. In the past, engineering of wind farms focused on a bottom-up approach, in which atmospheric wind availability was considered to be fixed by climate and weather. However, farms of gigawatt size slow down the Atmospheric Boundary Layer (ABL) as a whole, reducing the availability of wind at turbine hub height. In Denmark’s large off-shore farms, this leads to underperformance of turbines which can reach levels of 40%–50% compared to the same turbine in a lone-standing case. For large wind farms, the vertical structure and turbulence physics of the flow in the ABL become crucial ingredients in their design and operation. This introduces a new set of scientific challenges related to the design and control of large wind farms. The major ambition of the present research proposal is to employ optimal control techniques to control the interaction between large wind farms and the ABL, and optimize overall farm-power extraction. Individual turbines are used as flow actuators by dynamically pitching their blades using time scales ranging between 10 to 500 seconds. The application of such control efforts on the atmospheric boundary layer has never been attempted before, and introduces flow control on a physical scale which is currently unprecedented. The PI possesses a unique combination of expertise and tools enabling these developments: efficient parallel large-eddy simulations of wind farms, multi-scale turbine modeling, and gradient-based optimization in large optimization-parameter spaces using adjoint formulations. To ensure a maximum impact on the wind-engineering field, the project aims at optimal control, experimental wind-tunnel validation, and at including multi-disciplinary aspects, related to structural mechanics, power quality, and controller design.

1 499 241 €

Start date: 2012-10-01, End date: 2017-09-30

Space exploration is one of boldest and most exciting endeavors that humanity has undertaken, and it holds enormous promise for the future. Our next challenges for the spatial conquest include bringing back samples to Earth by means of robotic missions and continuing the manned exploration program, which aims at sending human beings to Mars and bring them home safely. Inaccurate prediction of the heat-flux to the surface of the spacecraft heat shield can be fatal for the crew or the success of a robotic mission. This quantity is estimated during the design phase. An accurate prediction is a particularly complex task, regarding modelling of the following phenomena that are potential “mission killers:” 1) Radiation of the plasma in the shock layer, 2) Complex surface chemistry on the thermal protection material, 3) Flow transition from laminar to turbulent. Our poor understanding of the coupled mechanisms of radiation, ablation, and transition leads to the difficulties in flux prediction. To avoid failure and ensure safety of the astronauts and payload, engineers resort to “safety factors” to determine the thickness of the heat shield, at the expense of the mass of embarked payload. Thinking out of the box and basic research are thus necessary for advancements of the models that will better define the environment and requirements for the design and safe operation of tomorrow’s space vehicles and planetary probes for the manned space exploration. The three basic ingredients for predictive science are: 1) Physico-chemical models, 2) Computational methods, 3) Experimental data. We propose to follow a complementary approach for prediction. The proposed research aims at: “Integrating new advanced physico-chemical models and computational methods, based on a multidisciplinary approach developed together with physicists, chemists, and applied mathematicians, to create a top-notch multiphysics and multiscale numerical platform for simulations of planetary atmosphere entries, crucial to the new challenges of the manned space exploration program. Experimental data will also be used for validation, following state-of-the-art uncertainty quantification methods.”

1 494 892 €

Start date: 2010-09-01, End date: 2015-08-31

1.2 billion people worldwide lack access to safe drinking water. Drinking water quality is threatened by newly emerging organic micro-pollutants (pesticides, pharmaceuticals, industrial chemicals) in source waters. Nanofiltration is a technology that is expected to play a key role in future water treatment processes due to its effectiveness in removal of micropollutants. However, the loss of membrane flux due to fouling is one of the main impediments in the development of membrane processes for use in drinking water treatment. Currently there is a wholly inadequate mechanistic understanding of the role of biofilm on the fouling of nanofiltration membranes. Applying techniques including confocal microscopy, force spectroscopy, and infrared spectroscopy using an experimental programme informed by a technique known as scale-down together with mathematical modelling, it is confidently expected that significant advances will be gained in the mechanistic understanding of nanofiltration biofouling. The specific objectives are 1. How is the rate of formation and extent of such biofilms influenced by the biological response to the local microenvironment? 2 Elucidate the effect of extracellular polysaccharide substances on physical properties, composition and structure of these biofilms. 3: Investigate mechanisms to enhance biofilm removal by a physical detachment process complemented by techniques that alter biofilm material properties. A more fundamental insight into the mechanisms of nanofiltration operation will help in further development of this treatment method in future water treatment processes.

1 468 987 €

Start date: 2011-10-01, End date: 2016-09-30

A hot topic in today's debate on global warming is drag reduction in aeronautics. The most beneficial concept for drag reduction is to maintain the major portion of the airfoil laminar. Estimations show that the potential drag reduction can be as much as 15%, which would give a significant reduction of NOx and CO emissions in the atmosphere considering that the number of aircraft take offs, only in the EU, is over 19 million per year. An important element for successful flow control, which can lead to a reduced aerodynamic drag, is enhanced physical understanding of the transition to turbulence process. In previous wind tunnel measurements we have shown that roughness elements can be used to sensibly delay transition to turbulence. The result is revolutionary, since the common belief has been that surface roughness causes earlier transition and in turn increases the drag, and is a proof of concept of the passive control method per se. The beauty with a passive control technique is that no external energy has to be added to the flow system in order to perform the control, instead one uses the existing energy in the flow. In this project proposal, AFRODITE, we will take this passive control method to the next level by making it twofold, more persistent and more robust. Transition prevention is the goal rather than transition delay and the method will be extended to simultaneously control separation, which is another unwanted flow phenomenon especially during airplane take offs. AFRODITE will be a catalyst for innovative research, which will lead to a cleaner sky.

1 418 399 €

Start date: 2010-11-01, End date: 2015-10-31

In the last ten years there has been a surge of interest in non-modal analysis applied to canonical problems in fundamental fluid mechanics. Even in simple flows, the stability behaviour predicted by non-modal analysis can be completely different from and far more accurate than that predicted by conventional eigenvalue analysis. As well as being more accurate, the tools of non-modal analysis, such as Lagrangian optimization, are very versatile. Furthermore, the outputs, such as receptivity and sensitivity maps of a flow, provide powerful insight for engineers. They describe where a flow is most receptive to forcing or where the flow is most sensitive to modification. The application of non-modal analysis to canonical problems has set the scene for step changes in engineering practice in fluid mechanics and thermoacoustics. The technical objectives of this proposal are to apply non-modal analysis to high Reynolds number flows, reacting flows and thermoacoustic systems, to compare theoretical predictions with experimental measurements and to embed these techniques within an industrial design tool that has already been developed by the group. This research group s vision is that future generations of engineering CFD tools will contain modules that can perform non-modal analysis. The generalized approach proposed here, combined with challenging scientific and engineering examples that are backed up by experimental evidence, will make this possible and demonstrate it to a wider engineering community.

1 301 196 €

Start date: 2010-12-01, End date: 2016-06-30

Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.

1 994 900 €

Start date: 2019-06-01, End date: 2024-05-31

This project will engineer an injectable biomaterial that forms an anisotropic microheterogeneous structure in vivo. Injectable hydrogels enable a minimal invasive in situ generation of matrices for the regeneration of tissues and organs, but currently lack structural organization and unidirectional orientation. The anisotropic, injectable hydrogels to be developed will mimic local extracellular matrix architectures that cells encounter in complex tissues (e.g. nerves, muscles). This project aims for the development of a biomimetic scaffold for spinal cord regeneration. To realize such a major breakthrough, my group will focus on three research objectives. i) Poly(ethylene glycol) microgel-in-hydrogel matrices will be fabricated with the ability to create macroscopic order due to microgel shape anisotropy and magnetic alignment. Barrel-like microgels will be prepared using an in-mold polymerization technique. Their ability to self-assemble will be investigated in function of their dimensions, aspect ratio, crosslinking density, and volume fraction. Superparamagnetic nanoparticles will be included into the microgels to enable unidirectional orientation by means of a magnetic field. Subsequently, the oriented microgels will be interlocked within a master hydrogel. ii) The microgel-in-hydrogel matrices will be equipped with (bio)functional properties for spinal cord regeneration, i.e., to control and optimize mechanical anisotropy and biological signaling by in vitro cell growth experiments. iii) Selected hydrogel composites will be injected after rat spinal cord injury and directional tissue growth and animal functional behavior will be analyzed. Succesful fabrication of the proposed microgel-in-hydrogel matrix will provide a new type of biomaterial, which enables investigating the effect of an anisotropic structure on physiological and pathological processes in vivo. This is a decisive step towards creating a clinical healing matrix for anisotropic tissue repair.

1 435 396 €

Start date: 2015-03-01, End date: 2020-02-29

The idea of mechanical actuator based on intrinsic material properties of liquid-crystalline elastomers (rather than complex engineering of interacting components) has been understood for 20+ years. The remarkable characteristics of LCE actuation (fully reversible action; large-amplitude, with a stroke of 5%-300%; stress-strain-speed response almost exactly matching the human muscle) make it highly attractive in biomedical engineering, robotics, smart textiles, and other fields. Yet, there is a profound difficulty (bottleneck), which remains the reason why this concept has not found its way into any practical devices & applications. LCE actuation requires alignment (monodomain structure) of the local anisotropy in the permanently crosslinked polymer network - which has been impossible to achieve in any useful large-scale configuration except the flat film, due to the unavoidable restrictions of two competing processes: orientational alignment and network crosslinking. Recently, we made a breakthrough, developing LCE vitrimers (polymer networks covalently crosslinked by a bond-exchange reaction). Vitrimers are much more stable than other transient elastomer networks, allow easy thermal re-moulding (making the material fully renewable), and permit molding of complex shapes with intricate local alignment (which are impossible in traditional elastomers). This project will bridge from the concept to technology, tuning the material design for robust nematic LCE vitrimers, imparting photo-actuation capacity with a controlled wavelength, and finally utilising them in practical-engineering actuator applications where the reversible mechanical action is stimulated by light, solvent exposure, or more traditionally - heat. These applications include (but not limited to): continuous spinning light-driven motor, tactile dynamic Braille display, capillary pump and toggle flow switch for microfuidics, active textile fibre, and heliotracking filament that always points at the Sun.

2 012 136 €

Start date: 2018-10-01, End date: 2023-09-30

The aim of this project is to develop and to demonstrate a novel theoretical framework devoted to rationalizing the formulation of composite electrodes containing next-generation material chemistries for high energy density secondary batteries. The framework will be established through the combination of discrete particle and continuum mathematical models within a multiscale computational workflow integrating the individual models and mimicking the different steps along the electrode fabrication process, including slurry preparation, drying and calendering. Strongly complemented by dedicated experimental characterizations which are devoted to its validation, the goal of this framework is to provide insights about the impacts of material properties and fabrication process parameters on the electrode mesostructures and their corresponding correlation to the resulting electrochemical performance. It targets self-organization mechanisms of material mixtures in slurries by considering the interactions between the active and conductive materials, solvent, binders and dispersants and the relationship between the materials properties such as surface chemistry and wettability. Optimal electrode formulation, fabrication process and the arising electrode mesostructure can then be achieved. Additionally, the framework will be integrated into an online and open access infrastructure, allowing predictive direct and reverse engineering for optimized electrode designs to attain high quality electrochemical performances. Through the demonstration of a multidisciplinary, flexible and transferable framework, this project has tremendous potential to provide insights leading to proposals of new and highly efficient industrial techniques for the fabrication of cheaper and reliable next-generation secondary battery electrodes for a wide spectrum of applications, including Electric Transportation.

1 976 445 €

Start date: 2018-04-01, End date: 2023-03-31

New generations of devices for tissue engineering (TE) should rationalize better the physical and biochemical cues operating in tandem during native regeneration, in particular at the scale/organizational-level of the stem cell niche. The understanding and the deconstruction of these factors (e.g. multiple cell types exchanging both paracrine and direct signals, structural and chemical arrangement of the extra-cellular matrix, mechanical signals…) should be then incorporated into the design of truly biomimetic biomaterials. ATLAS proposes rather unique toolboxes combining smart biomaterials and cells for the ground-breaking advances of engineering fully time-self-regulated complex 2D and 3D devices, able to adjust the cascade of processes leading to faster high-quality new tissue formation with minimum pre-processing of cells. Versatile biomaterials based on marine-origin macromolecules will be used, namely in the supramolecular assembly of instructive multilayers as nanostratified building-blocks for engineer such structures. The backbone of these biopolymers will be equipped with a variety of (bio)chemical elements permitting: post-processing chemistry and micro-patterning, specific/non-specific cell attachment, and cell-controlled degradation. Aiming at being applied in bone TE, ATLAS will integrate cells from different units of tissue physiology, namely bone and hematopoietic basic elements and consider the interactions between the immune and skeletal systems. These ingredients will permit to architect innovative films with high-level dialogue control with cells, but in particular sophisticated quasi-closed 3D capsules able to compartmentalise such components in a “globe-like” organization, providing local and long-range order for in vitro microtissue development and function. Such hybrid devices could be used in more generalised front-edge applications, including as disease models for drug discovery or test new therapies in vitro.

2 498 988 €

Start date: 2015-12-01, End date: 2020-11-30

Lithium ion batteries offer tremendous potential as an enabling technology for sustainable transportation and development. However, their widespread usage as the energy storage solution for electric mobility and grid-level integration of renewables is impeded by the fact that current state-of-the-art lithium ion batteries have energy densities that are too small, charge- and discharge rates that are too low, and costs that are too high. Highly publicized instances of catastrophic failure of lithium ion batteries raise questions of safety. Understanding the limitations to battery performance and origins of the degradation and failure is highly complex due to the difficulties in studying interrelated processes that take place at different length and time scales in a corrosive environment. In the project, we will (1) develop and implement quantitative methods to study the complex interrelations between structure and electrochemistry occurring at the nano-, micron-, and milli-scales in lithium ion battery active materials and electrodes, (2) conduct systematic experimental studies with our new techniques to understand the origins of performance limitations and to develop design guidelines for achieving high performance and safe batteries, and (3) investigate economically viable engineering solutions based on these guidelines to achieve high performance and safe lithium ion batteries.

1 500 000 €

Start date: 2016-05-01, End date: 2021-04-30

The key ideas motivating this project are that: 1) precise control of the properties of porous systems can be obtained by exploiting bacteria and their fantastic abilities; 2) conversely, porous media (large surface to volume ratios, complex structures) could be a major part of bacterial synthetic biology, as a scaffold for growing large quantities of microorganisms in controlled bioreactors. The main scientific obstacle to precise control of such processes is the lack of understanding of biophysical mechanisms in complex porous structures, even in the case of single-strain biofilms. The central hypothesis of this project is that a better fundamental understanding of biofilm biomechanics and physical ecology will yield a novel theoretical basis for engineering and control. The first scientific objective is thus to gain insight into how fluid flow, transport phenomena and biofilms interact within connected multiscale heterogeneous structures - a major scientific challenge with wide-ranging implications. To this end, we will combine microfluidic and 3D printed micro-bioreactor experiments; fluorescence and X-ray imaging; high performance computing blending CFD, individual-based models and pore network approaches. The second scientific objective is to create the primary building blocks toward a control theory of bacteria in porous media and innovative designs of microbial bioreactors. Building upon the previous objective, we first aim to extract from the complexity of biological responses the most universal engineering principles applying to such systems. We will then design a novel porous micro-bioreactor to demonstrate how the permeability and solute residence times can be controlled in a dynamic, reversible and stable way - an initial step toward controlling reaction rates. We envision that this will unlock a new generation of biotechnologies and novel bioreactor designs enabling translation from proof-of-concept synthetic microbiology to industrial processes.

1 649 861 €

Start date: 2019-01-01, End date: 2023-12-31

The agile and efficient flight of birds shows what flight performance is physically possible, and in theory could be achieved by unmanned air vehicles (UAVs) of the same size. The overall aim of this project is to enhance the performance of small scale UAVs by developing novel technologies inspired by understanding how birds are adapted to interact with airflows. Small UAVs have the potential to dramatically change current practices in many areas such as, search and rescue, surveillance, and environmental monitoring. Currently the utility of these systems is limited by their operational endurance and their inability to operate in strong turbulent winds, especially those that often occur in urban environments. Birds are adapted to be able to fly in these conditions and actually use them to their advantage to minimise their energy output. This project is composed of three tracks which contain elements of technology development, as well as scientific investigation looking at bird flight behaviour and aerodynamics. The first track looks at developing path planning algorithms for UAVs in urban environments based on how birds fly in these areas, by using GPS tracking and computational fluid dynamics alongside trajectory optimization. The second track aims to develop artificial wings with improved gust tolerance inspired by the features of feathered wings. Here, high speed video measurements of birds flying through gusts will be used alongside wind tunnel testing of artificial wings to discover what features of a bird’s wing help to alleviate gusts. The third track develops novel force and flow sensor arrays for autonomous flight control based on the sensor arrays found in flying animals. These arrays will be used to make UAVs with increased agility and robustness. This unique bird inspired approach uses biology to show what is possible, and engineering to find the features that enable this performance and develop them into functional technologies.

1 998 546 €

Start date: 2016-04-01, End date: 2021-03-31

The management of anthropogenic CO2 will be one of the main challenges of this century given the dramatic impact of greenhouse gases on our living environment. A fascinating strategy to restore the advantages of stored CO2 as a raw material would be to consider a slow biological upgrading process of CO2 in deep geological formations. Significantly, the recent development of microfluidic tools to study pore-scale phenomena under high pressure, opens new avenues to investigate such strategies. Thus, the strategic objective of this project is to develop and to use “Biological Geological Laboratories on a Chip - BioGLoCs” mimicking reservoir conditions in order to gain greater understanding in the mechanisms associated with the biogeological conversion process of CO2 to methane in CGS environment at pore scale. The specific objectives are: (1) to determine the experimental conditions for the development of competent micro-organisms (methanogens) and to establish the methane production rates depending on the operating parameters, (2) to evaluate the feasibility of a H2 in situ production strategy (required to sustain the methanogenesis process), (3) to investigate the full bioconversion process in 2D and 3D, (4) to demonstrate the process scaling from pore scale to liter scale and (5) to evaluate the overall process performance. This multidisciplinary project gathering expertise in chemical engineering and geomicrobiology will be the first ever use of microfluidics approaches to investigate a biogeological transformation taking into account the thermo-hydro-bio-chemical processes. It will result in the identification of efficient geomicrobiological methods and materials to accelerate the CO2 to methane biogeoconversion process. New generic lab scale tools will be also made available for investigating geological-related topics (enhanced oil recovery, deep geothermal energy, bioremediation of groundwater, shale gas recovery).

1 995 354 €

Start date: 2017-11-01, End date: 2022-10-31

Meta-materials, best known for their extraordinary properties (e.g. negative stiffness), are halfway from both materials and structures: their unusual properties are direct results of their complex 3D structures. This project introduces a new class of meta-materials called meta-biomaterials. Meta-biomaterials go beyond meta-materials by adding an extra dimension to the complex 3D structure, i.e. complex and precisely controlled surface nano-patterns. The 3D structure gives rise to unprecedented or rare combination of mechanical (e.g. stiffness), mass transport (e.g. permeability, diffusivity), and biological (e.g. tissue regeneration rate) properties. Those properties optimize the distribution of mechanical loads and the transport of nutrients and oxygen while providing geometrical shapes preferable for tissue regeneration (e.g. higher curvatures). Surface nano-patterns communicate with (stem) cells, control their differentiation behavior, and enhance tissue regeneration. There is one important problem: meta-biomaterials cannot be manufactured with current technology. 3D printing can create complex shapes while nanolithography creates complex surface nano-patterns down to a few nanometers but only on flat surfaces. There is, however, no way of combining complex shapes with complex surface nano-patterns. The groundbreaking nature of this project is in solving that deadlock using the Origami concept (the ancient Japanese art of paper folding). In this approach, I first decorate flat 3D-printed sheets with nano-patterns. Then, I apply Origami techniques to fold the decorated flat sheet and create complex 3D shapes. The sheet knows how to self-fold to the desired structure when subjected to compression, owing to pre-designed joints, crease patterns, and thickness/material distributions that control its mechanical instability. I will demonstrate the added value of meta-biomaterials in improving bone tissue regeneration using in vitro cell culture assays and animal models

1 499 600 €

Start date: 2016-02-01, End date: 2021-01-31

Personalized medicine is a medical model that proposes the customization of healthcare, with decisions and practices being tailored to the individual patient by use of patient-specific information and/or application of patient-specific cell-based therapies. BioBlood aims to deliver personalised healthcare through a “step change” in the clinical field of haemato-oncology. BioBlood represents an engineered bio-inspired integrated experimental/modelling platform for normal and abnormal haematopoiesis that receives disease & patient input (patient primary cells & patient/disease-specific data) and will produce cellular (red blood cell product) and drug (optimal drug treatment) therapies as its output. Blood supply to meet demand is the primary challenge for Blood Banks and requires significant resources to avoid shortages and ensure safety. An alternative, practical and cost-effective solution to conventional donated blood is essential to reduce patient morbidity and mortality, stabilise and guarantee the donor supply, limit multiple donor exposures, reduce risk of infection of known or as yet unidentified pathogens, and ensure a robust and safe turn-around for blood supply management. BioBlood aims to meet this challenge by developing a novel in vitro platform for the mass production of RBCs for clinical use. More than £32b/year is spent to develop and bring new drugs to market, which takes 14 years. Most patients diagnosed with leukaemias are unable to tolerate treatment and would benefit from novel agents. There is a need to optimise current treatment schedules for cancers such as AML to limit toxicities and improve clinical trial pathways for new drugs to enable personalised healthcare. BioBlood’s in vitro & in silico platform would be a powerful tool to tailor treatments in a patient- and leukaemia-specific chemotherapy schedule by considering the level of toxicity to the specific individual and treatment efficiency for the specific leukaemia a priori.

2 498 903 €

Start date: 2014-01-01, End date: 2018-12-31

Given the increasing scarcity of suitable land for development, soil strengthening technologies have emerged in the past decade and go hand-in-hand with the implementation of the majority of foundation solutions. The goal is to alter the soil structure and its mechanical properties for ultimately securing the integrity of structures. The BIOGEOS project puts the focus on bio-mediated soil improvement, which falls within the broader framework of multi-physical processes in geo-mechanics. The goal of the project is to engineer a novel, natural material under controlled processes, for ultimately providing solutions to real problems in the geo-engineering and geo-energy fields by advancing knowledge around complex multi-physical phenomena in porous media. The bio-cemented geo-material, which is produced by carefully integrating the metabolic activity of native soil bacteria, is produced through the bio-mineralization of calcite bonds, which act as natural cementation for endowing the subsurface with real cohesion and increased resistance. A principal characteristic of the project is its multi-scale approach through advanced experimentation to identify the main physical mechanisms involved in the formation of the bio-mineralized bonds and their behaviour under mechanical loading. The development of such a bio-mediated technology will lead to innovative applications in a series of engineering problems such as the restoration of weak foundations, seismic retrofitting, erosion protection, and the enhancement of heat transfer in thermo-active geo-structures. The project foresees to adopt multiple loading conditions for its laboratory characterization and ultimately pass to the large experimental scale. BIOGEOS further aims to provide new knowledge around the way we perceive materials in relation with their micro-structure by implementing state-of-the-art inspection of the material’s structure in 3D space and subsequent prediction of their behaviour through numerical tools.

2 497 115 €

Start date: 2018-11-01, End date: 2023-10-31

Brain-inspired (neuromorphic) computing has recently demonstrated advancements in pattern and image recognition as well as classification of unstructured (big) data. However, the volatility and energy required for neuromorphic devices presented to date significantly complicate the path to achieve the interconnectivity and efficiency of the brain. In previous work, recently published in Nature Materials, the PI has demonstrated a low-cost solution to these drawbacks: an organic artificial synapse as a building-block for organic neuromorphics. The conductance of this single synapse can be accurately tuned by controlled ion injection in the conductive polymer, which could trigger unprecedented low-energy analogue computing. Hence, the major challenge in the largely unexplored field of organic neuromorphics, is to create an interconnected network of these synapses to obtain a true neuromorphic array which will not only be exceptionally pioneering in materials research for neuromorphics and machine-learning, but can also be adopted in a multitude of vital medical research devices. BIOMORPHIC will develop a unique brain-inspired organic lab-on-a-chip in which microfluidics integrated with sensors, collecting characteristics of biological cells, will serve as input to the neuromorphic array. BIOMORPHIC will combine modular microfluidics and machine-learning to develop a novel platform for low-cost lab-on-a-chip devices capable of on-chip cell classification. In particular, BIOMORPHIC will focus on the detection of circulating tumour cells (CTC). Current methods for the detection of cancer are generally invasive, whereas analysing CTCs in blood offers a highly desired alternative. However, accurately detecting and isolating these cells remains a challenge due to their low prevalence and large variability. The strength of neuromorphics precisely lies in finding patterns in such variable data, which will result in a ground-breaking CTC classification lab-on-a-chip.

1 498 726 €

Start date: 2019-01-01, End date: 2023-12-31

Water is the first molecule to come into contact with biomaterials in biological systems and thus essential to the processes of biodegradation, biocompatibility and biofouling. Despite this fact, little is currently known about how biomaterials interact with water. This knowledge is crucial for the development and optimisation of novel functional biomaterials for human health (e.g. biosensing devices, erodible biomaterials, drug release carriers, wound dressings). BioWater will develop near and mid infrared chemical imaging (NIR-MIR-CI) techniques to investigate the fundamental interaction between biomaterials and water in order to understand the key processes of biodegradation, biocompatibility and biofouling. This ambitious yet achievable project will focus on two major categories of biomaterials relevant to human health: extracellular collagens and synthetic biopolymers. Initially, interactions between these biomaterials and water will be investigated; subsequently interactions with more complicated matrices (e.g. protein solutions and cellular systems) will be studied. CI data will be correlated with standard surface characterization, biocompatibility and biodegradation measurements. Molecular dynamic simulations will complement this work to identify the most probable molecular structures of water at different biomaterial interfaces. Advanced understanding of the role of water in biocompatibility, biofouling and biodegradation processes will facilitate the optimization of biomaterials tailored to specific cellular environments with a broad range of therapeutic applications (e.g. drug eluting stents, tissue engineering, wound healing). The new NIR-MIR-CI/chemometric methodologies developed in BioWater will allow for the rapid characterization and monitoring of novel biomaterials at pre-clinical stages, improving process control by overcoming the laborious and time consuming large-scale sampling methods currently required in biomaterials development.

1 487 682 €

Start date: 2014-02-01, End date: 2019-01-31

Implants are often employed in orthopaedic and dental surgeries. However, risks of failure, which are difficult to anticipate, are still experienced and may have dramatic consequences. Failures are due to degraded bone remodeling at the bone-implant interface, a multiscale phenomenon of an interdisciplinary nature which remains poorly understood. The objective of BoneImplant is to provide a better understanding of the multiscale and multitime mechanisms at work at the bone-implant interface. To do so, BoneImplant aims at studying the evolution of the biomechanical properties of bone tissue around an implant during the remodeling process. A methodology involving combined in vivo, in vitro and in silico approaches is proposed. New modeling approaches will be developed in close synergy with the experiments. Molecular dynamic computations will be used to understand fluid flow in nanoscopic cavities, a phenomenon determining bone healing process. Generalized continuum theories will be necessary to model bone tissue due to the important strain field around implants. Isogeometric mortar formulation will allow to simulate the bone-implant interface in a stable and efficient manner. In vivo experiments realized under standardized conditions will be realized on the basis of feasibility studies. A multimodality and multi-physical experimental approach will be carried out to assess the biomechanical properties of newly formed bone tissue as a function of the implant environment. The experimental approach aims at estimating the effective adhesion energy and the potentiality of quantitative ultrasound imaging to assess different biomechanical properties of the interface. Results will be used to design effective loading clinical procedures of implants and to optimize implant conception, leading to the development of therapeutic and diagnostic techniques. The development of quantitative ultrasonic techniques to monitor implant stability has a potential for industrial transfer.

1 992 154 €

Start date: 2016-10-01, End date: 2021-09-30

One out of 5 people in their fifties will experience a bone fracture due to osteoporosis (OP)-induced fragility in their lifetime. The OP socio-economic burden is dramatic and involves tens of millions of people in the EU, with a steadily increasing number due to population ageing. Current treatments entail drug-therapy coupled with a healthy lifestyle but OP fractures need mechanical fixation to rapidly achieve union: the contribution of biomaterial scientists in this field is still far from taking its expected leading role in cutting-edge research. Bone remodelling is a well-coordinated process of bone resorption by osteoclasts followed by the production of new bone by osteoblasts. This process occurs continuously throughout life in a coupling with a positive balance during growth and negative with ageing, which can result in OP. We believe that an architecture driven stimulation of the osteoclast/osteoblast coupling, with an avant-garde focus on osteoclasts activity, is the key to success in treating unbalanced bone remodelling. We aim to manufacture a scaffold that mimics healthy bone features which will establish a new microenvironment favoring a properly stimulated and active population of osteoclasts and osteoblasts, i.e. a well-balanced bone cooperation. After 5 years we will be able to prove the efficacy of this approach. A benchmark will be set up for OP fracture treatment and for the realization of smart bone substitutes that will be able to locally “trick” aged bone cells stimulating them to act as healthy ones. BOOST results will have an unprecedented impact on the scientific research community, opening a new approach to set up smart, biomimetic strategies to treat aged, unbalanced bone tissues and to reduce OP-associated disabilities and financial burdens.

1 977 500 €

Start date: 2016-05-01, End date: 2021-12-31

The cerebral microvascular system is essential to a large variety of physiological processes in the brain, including blood delivery and blood flow regulation as a function of neuronal activity (neuro-vascular coupling). It plays a major role in the associated mechanisms leading to disease (stroke, neurodegenerative diseases, …). In the last decade, cutting edge technologies, including two-photon scanning laser microscopy (TPSLM) and optical manipulation of blood flow, have produced huge amounts of anatomic and functional experimental data in normal and Alzheimer Disease (AD) mice. These require accurate, highly quantitative, physiologically informed modeling and analysis for any coherent understanding and for translating results between species. In this context, our first aim is to develop a general methodological framework for physiologically informed microvascular fluid dynamics modeling, understood in a broad meaning, i.e. blood flow, molecule transport and resulting functional imaging signals or signal surrogates. Our second aim is to validate this methodological framework by direct comparison of in vivo anatomical and functional TPSLM measurements with the simulation results based on the same anatomical data. The third objective is to exploit these methodologies in order to identify the logic of the structure/function relationships of brain microcirculation and neurovascular coupling, in human health and disease, with a focus on the role of vascular factors in AD. Specific hypotheses on how vascular changes in AD affect both vascular function and neurovascular coupling can be experimentally tested in animal models of AD. Crucially, similar anatomical (but not functional) data can be acquired in healthy and AD humans. This will enable us to model how AD-induced vascular alterations could affect human patients. Ultimately, it provides us with new avenues for design and/or evaluation of improved diagnosis/preventive/treatment strategies.

1 999 873 €

Start date: 2014-06-01, End date: 2019-05-31

"We aim to perform academic development of a novel biomedical opportunity: localized synthesis of drugs within biocatalytic therapeutic vascular implants (BVI) for site-specific drug delivery to target organs and tissues. Primary envisioned targets for therapeutic intervention using BVI are atherosclerosis, viral hepatitis, and hepatocellular carcinoma: three of the most prevalent and debilitating conditions which affect hundreds of millions worldwide and which continue to increase in their importance in the era of increasingly aging population. For hepatic applications, we aim to develop drug eluting beads which are equipped with tools of enzyme-prodrug therapy (EPT) and are administered to the liver via trans-arterial catheter embolization. Therein, the beads perform localized synthesis of drugs and imaging reagents for anticancer combination therapy and theranostics, antiviral and anti-inflammatory agents for the treatment of hepatitis. Further, we conceive vascular therapeutic inserts (VTI) as a novel type of implantable biomaterials for treatment of atherosclerosis and re-endothelialization of vascular stents and grafts. Using EPT, inserts will tame “the guardian of cardiovascular grafts”, nitric oxide, for which localized, site specific synthesis and delivery spell success of therapeutic intervention and/or aided tissue regeneration. This proposal is positioned on the forefront of biomedical engineering and its success requires excellence in polymer chemistry, materials design, medicinal chemistry, and translational medicine. Each part of this proposal - design of novel types of vascular implants, engineering novel biomaterials, developing innovative fabrication and characterization techniques – is of high value for fundamental biomedical sciences. The project is target-oriented and once successful, will be of highest practical value and contribute to increased quality of life of millions of people worldwide."

1 996 126 €

Start date: 2014-04-01, End date: 2019-09-30

Life is tough for planktonic copepods, constantly washed by turbulent flows. Yet, these millimetric crustaceans dominate the oceans in numbers. What have made them so successful? Copepod antennae are covered with hydrodynamic and chemical sensing hairs that allow copepods to detect preys, predators and mates, although they are blind. How do copepods process this sensing information? How do they extract a meaningful signal from turbulence noise? Today, we do not know. C0PEP0D hypothesises that reinforcement learning tools can decipher how copepod process hydrodynamic and chemical sensing. Copepods face a problem similar to speech recognition or object detection, two common applications of reinforcement learning. However, copepods only have 1000 neurons, much less than in most artificial neural networks. To approach the simple brain of copepods, we will use Darwinian evolution together with reinforcement learning, with the goal of finding minimal neural networks able to learn. If we are to build a learning virtual copepod, challenging problems are ahead: we need fast methods to simulate turbulence and animal-flow interactions, new models of hydrodynamic signalling at finite Reynolds number, innovative reinforcement learning algorithms that embrace evolution and experiments with real copepods in turbulence. With these theoretical, numerical and experimental tools, we will address three questions: Q1: Mating. How do male copepods follow the pheromone trail left by females? Q2: Finding. How do copepods use hydrodynamic signals to ‘see’? Q3: Feeding. What are the best feeding strategies in turbulent flow? C0PEP0D will decipher how copepods process sensing information, but not only that. Because evolution is explicitly considered, it will offer a new perspective on marine ecology and evolution that could inspire artificial sensors. The evolutionary approach of reinforcement learning also offers a promising tool to tackle complex problems in biology and engineering.

2 215 794 €

Start date: 2019-09-01, End date: 2024-08-31

A sudden decrease in pressure triggers the formation of vapour and gas bubbles inside a liquid medium (also called cavitation). This leads to many (key) engineering problems: material loss, noise and vibration of hydraulic machinery. On the other hand, cavitation is a potentially a useful phenomenon: the extreme conditions are increasingly used for a wide variety of applications such as surface cleaning, enhanced chemistry, and waste water treatment (bacteria eradication and virus inactivation). Despite this significant progress a large gap persists between the understanding of the mechanisms that contribute to the effects of cavitation and its application. Although engineers are already commercializing devices that employ cavitation, we are still not able to answer the fundamental question: What precisely are the mechanisms how bubbles can clean, disinfect, kill bacteria and enhance chemical activity? The overall objective of the project is to understand and determine the fundamental physics of the interaction of cavitation bubbles with different contaminants. To address this issue, the CABUM project will investigate the physical background of cavitation from physical, biological and engineering perspective on three complexity scales: i) on single bubble level, ii) on organised and iii) on random bubble clusters, producing a progressive multidisciplinary synergetic effect. The proposed synergetic approach builds on the PI's preliminary research and employs novel experimental and numerical methodologies, some of which have been developed by the PI and his research group, to explore the physics of cavitation behaviour in interaction with bacteria and viruses. Understanding the fundamental physical background of cavitation in interaction with contaminants will have a ground-breaking implications in various scientific fields (engineering, chemistry and biology) and will, in the future, enable the exploitation of cavitation in water and soil treatment processes.

1 904 565 €

Start date: 2018-07-01, End date: 2023-06-30

Despite intense research efforts in almost every branch of the natural sciences, cancer continues to be one of the leading causes of death worldwide. It is thus remarkable that little or no therapeutic use has been made of a whole discipline, heterogeneous catalysis, which is noted for its specificity and for enabling chemical reactions in otherwise passive environments. At least in part, this could be attributed to practical difficulties: the selective delivery of a catalyst to a tumour and the remote activation of its catalytic function only after it has reached its target are highly challenging objectives. Only recently, the necessary tools to overcome these problems seem within reach. CADENCE aims for a breakthrough in cancer therapy by developing a new therapeutic concept. The central hypothesis is that a growing tumour can be treated as a special type of reactor in which reaction conditions can be tailored to achieve two objectives: i) molecules essential to tumour growth are locally depleted and ii) toxic, short-lived products are generated in situ. To implement this novel approach we will make use of core concepts of reactor engineering (kinetics, heat and mass transfer, catalyst design), as well as of ideas borrowed from other areas, mainly those of bio-orthogonal chemistry and controlled drug delivery. We will explore two different strategies (classical EPR effect and stem cells as Trojan Horses) to deliver optimized catalysts to the tumour. Once the catalysts have reached the tumour they will be remotely activated using near-infrared (NIR) light, that affords the highest penetration into body tissues. This is an ambitious project, addressing all the key steps from catalyst design to in vivo studies. Given the novel perspective provided by CADENCE, even partial success in any of the approaches to be tested would have a significant impact on the therapeutic toolbox available to treat cancer.

2 483 136 €

Start date: 2017-09-01, End date: 2022-08-31

Solar energy conversion will play an essential role in the future supply of clean energy. Secure access to energy sources will require energy conversion technologies that are low impact, distributed and accessible both technically and financially. Molecular electronic materials embody these possibilities, offering facile synthesis, low energy production and the versatility to allow performance to be maximized for specific applications. Moreover, they bring appealing similarities with nature’s intrinsically low impact energy conversion materials. Whilst molecular semiconductors have been studied in detail for solar-to-electric energy conversion they have seldom been studied for solar-to-chemical conversion or for charge storage. However, they bring exciting potential advantages in terms of their light harvesting properties, the range of microstructures possible and the ability to tune their electrical properties. Polymer materials applied to solar chemical generation could open up an innovative route to artificial fuels, with the option to control light harvesting and charge separation through structural control. Polymer materials applied to mixed (electronic / ionic) conduction provide a route to lower cost electrochemical storage, as well as to biocompatible devices and sensors. Stimulated by recent experimental breakthroughs in the application of polymers as photocatalysts and ion transport media I will exploit my expertise in multi-scale modelling and functional characterization of molecular electronic materials and devices to develop a design framework for energy conversion and storage in conjugated polymer materials. This proposal aims to disentangle the parameters that govern the performance of conjugated polymer based photocatalysts and ion transport media to discover the underlying functional mechanisms. The tools generated will serve to enable the design and development of high performance materials for energy conversion devices.

2 351 550 €

Start date: 2017-10-01, End date: 2022-09-30

A wide variety of materials including coatings and adhesives, emerging materials for nanotechnology products, as well as everyday food products are processed or delivered as suspensions. The flow properties of such suspensions must be finely adjusted according to the demands of the respective processing techniques, even for the feel of cosmetics and the perception of food products is highly influenced by their rheological properties. The recently developed capillary suspensions concept has the potential to revolutionize product formulations and material design. When a small amount (less than 1%) of a second immiscible liquid is added to the continuous phase of a suspension, the rheological properties of the mixture are dramatically altered from a fluid-like to a gel-like state or from a weak to a strong gel and the strength can be tuned in a wide range covering orders of magnitude. Capillary suspensions can be used to create smart, tunable fluids, stabilize mixtures that would otherwise phase separate, significantly reduce the amount organic or polymeric additives, and the strong particle network can be used as a precursor for the manufacturing of cost-efficient porous ceramics and foams with unprecedented properties. This project will investigate the influence of factors determining capillary suspension formation, the strength of these admixtures as a function of these aspects, and how capillary suspensions depend on external forces. Only such a fundamental understanding of the network formation in capillary suspensions on both the micro- and macroscopic scale will allow for the design of sophisticated new materials. The main objectives of this proposal are to quantify and predict the strength of these admixtures and then use this information to design a variety of new materials in very different application areas including, e.g., porous materials, water-based coatings, ultra low fat foods, and conductive films.

1 489 618 €

Start date: 2013-08-01, End date: 2018-07-31

In the CATACOAT project, we will develop layer-by-layer solution-processed catalyst overcoating methods, which will result in catalysts that have both targeted and broad impacts. We will produce highly active, stable and selective catalysts for the upgrading of lignin – the largest natural source of aromatic chemicals – into commodity chemicals, which will have an important targeted impact. The broader impact of our work will lie in the production of catalytic materials with unprecedented control over the active site architecture. There is an urgent need to provide these cheap, stable, selective, and highly active catalysts for renewable molecule production. Thanks to its availability and relatively low cost, lignocellulosic biomass is an attractive source of renewable carbon. However, unlike petroleum, biomass-derived molecules are highly oxygenated, and often produced in dilute-aqueous streams. Heterogeneous catalysts – the workhorses of the petrochemical industry – are sensitive to water and contain many metals that easily sinter and leach in liquid-phase conditions. The production of renewable chemicals from biomass, especially valuable aromatics, often requires expensive platinum group metals and suffers from low selectivity. Catalyst overcoating presents a potential solution to this problem. Recent breakthroughs using catalyst overcoating with atomic layer deposition (ALD) showed that base metal catalysts can be stabilized against sintering and leaching in liquid phase conditions. However, ALD creates dramatic drops in activity due to excessive coverage, and forms an overcoat that cannot be tuned. Our materials will feature the controlled placement of metal sites (including single atoms), several oxide sites, and even molecular imprints with sub-nanometer precision within highly accessible nanocavities. We anticipate that such materials will create unprecedented opportunities for reducing cost and increasing sustainability in the chemical industry and beyond.

1 785 195 €

Start date: 2017-12-01, End date: 2022-11-30

"The urgent need to develop inexpensive and ubiquitous solar energy conversion cannot be overstated. Solution processed organic semiconductors can enable this goal as they support drastically less expensive fabrication techniques compared to traditional semiconductors. Molecular organic semiconductors (MOSs) offer many advantages to their more-common pi-conjugated polymer counterparts, however a clear and fundamental challenge to enable the goal of high performance solution-processable molecular organic semiconductor devices is to develop the ability to control the crystal packing, crystalline domain size, and mixing ability (for multicomponent blends) in the thin-film device geometry. The CEMOS project will accomplish this by pioneering innovative methods of “bottom-up” crystal engineering for organic semiconductors. We will employ specifically tailored molecules designed to leverage both thermodynamic and kinetic aspects of molecular organic semiconductor systems to direct and control crystalline packing, promote crystallite nucleation, compatibilize disparate phases, and plasticize inelastic materials. We will demonstrate that our new classes of materials can enable the tuning of the charge carrier transport and morphology in MOS thin films, and we will evaluate their performance in actual thin-film transistor (TFT) and organic photovoltaic (OPV) devices. Our highly interdisciplinary approach, combining material synthesis and device fabrication/evaluation, will not only lead to improvements in the performance and stability of OPVs and TFTs but will also give deep insights into how the crystalline packing—independent from the molecular structure—affects the optoelectronic properties. The success of CEMOS will rapidly advance the performance of MOS devices by enabling reproducible and tuneable performance comparable to traditional semiconductors—but at radically lower processing costs."

1 477 472 €

Start date: 2014-01-01, End date: 2018-12-31

A wide variety of natural phenomena and technological applications involve flow, transport and chemical reactions taking place on or near fluid-solid or fluid-fluid interfaces. From gravity currents under water and lava flows to heat and mass transport processes in engineering applications and to the rapidly developing field of microfluidics. Both equilibrium properties of a fluid and transportcoefficients are modified in the vicinity of interfaces. The effect of these changes is crucial in the behavior of ultra-thin fluidfilms and fluid motion in microchannels of micro-electromechanical systems, but is essential as well in macroscopic phenomena involving interfacial singularities, such as thin-film rupture and motion of three-phase contact lines associated e.g. with droplet spreading. Interface boundaries are mesoscopic structures. While material properties vary smoothly at macroscopic distances from an interface, gradients in the normal direction of conserved parameters, such as density, are steep with strong variations as the molecular scale in the neighborhood of the interface is approached. This brings about a contradiction between the need in macroscopic description and a necessity to take into consideration microscopic factors that come to influence the fluid motion and transport on incommensurately larger scales. The aim of the proposed research is to develop a class of novel continuous models bridging the gap between molecular dynamics and conventional hydrodynamics and applicable at mesoscopic distances from gas-liquid and fluid-solid interfaces. A combination of analytical techniques, numerical modeling and computer-aided multiscale analysis will be employed. The results of the proposed work will greatly contribute to the fundamental understanding of mesoscopic non-equilibrium phenomena in the vicinity of interfaces and to the development of novel computational methods combining the advantages of molecular and continuous models.

1 273 788 €

Start date: 2010-04-01, End date: 2016-03-31

The goal of CITRES is to provide new energy storage devices with high power and energy density by developing novel multilayer ceramic capacitors (MLCCs) based on relaxor thin films (RTF). Energy storage units for energy autonomous sensor systems for the Internet of Things (IoT) must possess high power and energy density to allow quick charge/recharge and long-time energy supply. Current energy storage devices cannot meet those demands: Batteries have large capacity but long charging/discharging times due to slow chemical reactions and ion diffusion. Ceramic dielectric capacitors – being based on ionic and electronic polarisation mechanisms – can deliver and take up power quickly, but store much less energy due to low dielectric breakdown strength (DBS), high losses, and leakage currents. RTF are ideal candidates: (i) Thin film processing allows obtaining low porosity and defects, thus enhancing the DBS; (ii) slim polarisation hysteresis loops, intrinsic to relaxors, allow reducing the losses. High energy density can be achieved in RTF by maximising the polarisation and minimising the leakage currents. Both aspects are controlled by the amount, type and local distribution of chemical substituents in the RTF lattice, whereas the latter depends also on the chemistry of the electrode metal. In CITRES, we will identify the influence of substituents on electric polarisation from atomic to macroscopic scale by combining multiscale atomistic modelling with advanced structural, chemical and electrical characterizations on several length scales both in the RTF bulk and at interfaces with various electrodes. This will allow for the first time the design of energy storage properties of RTF by chemical substitution and electrode selection. The ground-breaking nature of CITRES resides in the design and realisation of RTF-based dielectric MLCCs with better energy storage performances than supercapacitors and batteries, thus enabling energy autonomy for IoT sensor systems.

1 996 519 €

Start date: 2019-04-01, End date: 2024-03-31

The continued increase in the atmospheric concentration of CO2 due to anthropogenic emissions is leading to significant changes in climate, with the industry accounting for one-third of all the energy used globally and for almost 40% of worldwide CO2 emissions. Fast actions are required to decrease the concentration of this greenhouse gas in the atmosphere, value that has currently reaching 400 ppm. Among the technological possibilities that are on the table to reduce CO2 emissions, carbon capture and storage into geological deposits is one of the main strategies that is being applied. However, the final objective of this strategy is to remove CO2 without considering the enormous potential of this molecule as a source of carbon for the production of valuable compounds. Nature has developed an effective and equilibrated mechanism to concentrate CO2 and fixate the inorganic carbon into organic material (e.g., glucose) by means of enzymatic action. Mimicking Nature and take advantage of millions of years of evolution should be considered as a basic starting point in the development of smart and highly effective processes. In addition, the use of amino-acid salts for CO2 capture is envisaged as a potential approach to recover CO2 in the form of (bi)carbonates. The project CO2LIFE presents the overall objective of developing a chemical process that converts carbon dioxide into valuable molecules using membrane technology. The strategy followed in this project is two-fold: i) CO2 membrane-based absorption-crystallization process on basis of using amino-acid salts, and ii) CO2 conversion into glucose or salts by using enzymes as catalysts supported on or retained by membranes. The final product, i.e. (bi)carbonates or glucose, has a large interest in the (bio)chemical industry, thus, new CO2 emissions are avoided and the carbon cycle is closed. This project will provide a technological solution at industrial scale for the removal and reutilization of CO2.

1 302 710 €

Start date: 2018-01-01, End date: 2022-12-31

"""First principles"" and ""bottom-up"" have become buzz words across scientific and engineering disciplines when it comes to the discovery, prediction and understanding of material properties and their link to processing and microstructure. Reality, however, teaches us that in the foreseeable future computational resources will be insufficient to apply predictive techniques such as quantum mechanics or atomistics to the technologically most relevant length and time scales - far above nanometers and nanoseconds. This proposal aims for nothing less but the seemingly impossible: the application of atomistic techniques to problems occurring over microns to millimeters and seconds to minutes. Instead of relying on computational power, this will be achieved by a combination of scale-bridging methodologies (involving the PI's nonlocal and meshless quasicontinuum techniques, concepts from particle methods, continuum and statistical mechanics) and computational science strategies in order to produce new theory and an open-source, computational toolset for long-term, large-scale simulations relying solely on atomistic input. Spatial upscaling, temporal upscaling as well as heat and mass transfer will be addressed. Enabled by the new scale-bridging capabilities, two representative, open challenges will be investigated: recrystallization in magnesium during thermo-mechanical processing and corrosion in steel by hydrogen embrittlement. Both are of enormous technological and economic importance but current techniques are insufficient to bridge the gap between the macroscopic mechanical performance, microstructural mechanisms and predictive atomic-scale simulations. The outcomes of this five-year research program will provide never-before techniques and numerical tools to catalyze a user community across science and technology. Although the focus is on metals, several of the proposed techniques are applicable to a significantly wider range of materials and applications."

1 995 128 €

Start date: 2018-03-01, End date: 2023-02-28

Regenerative medicine aims to regenerate damaged tissues by developing functional cell, tissue, and organ substitutes to repair, replace or enhance biological function in damaged tissues. The focus of this research programme is to develop bone graft substitute biomaterials and laboratory-engineered bone tissue for implantation in damaged sites. At a simplistic level, biological tissues consist of cells, signalling mechanisms and extracellular matrix. Regenerative medicine/tissue engineering technologies are based on this biological triad and involve the successful interaction between three components: the scaffold that holds the cells together to create the tissues physical form, the cells that create the tissue, and the biological signalling mechanisms (such as growth factors or bioreactors) that direct the cells to express the desired tissue phenotype. The research proposed in this project includes specific projects in all three areas. The programme will be centred on the collagen-based biomaterials developed in the applicant s laboratory and will incorporate cutting edge stem cell technologies, growth factor delivery, gene therapy and bioreactor technology which will translate to in vivo tissue repair. This translational research programme will be divided into four specific themes: (i) development of novel osteoinductive and angiogenic smart scaffolds for bone tissue regeneration, (ii) scaffold and stem cell therapies for bone tissue regeneration, (iii) bone tissue engineering using a flow perfusion bioreactor and (iv) in vivo bone repair using engineered bone and smart scaffolds.

1 999 530 €

Start date: 2009-11-01, End date: 2015-09-30

We want to use selective laser melting to pattern a substrate with different solid micro particles at a density of 1 million spots per cm2. First, a homogeneous particle layer is deposited on a substrate and a pattern of micro spots of melted matrix is generated by laser radiation. Then, non-melted particles are blown away. Embedded within the particles are different chemically reactive amino acid derivatives that will start coupling to very small synthesis sites upon melting the particle pattern in an oven. This is done once all of the 20 different amino acid particles have been glued by laser patterning to the surface. Washing away uncoupled material, removing Fmoc protecting group, and repeating the patterning steps according to standard Merrifield synthesis, leads to the combinatorial synthesis of very high-density peptide arrays. The main objective of this proposal is to develop this method up to the level of a semi-automated synthesis machine. In addition, we will use the manufactured very high-density peptide arrays to readout the information that is deposited in the immune system, i.e. find a peptide binder for every one of the 200-500 antibody species that patrol the serum of an individual in elevated levels. These experiments might lead to novel tools to find out the causes of hitherto enigmatic diseases because then we might be able to correlate antibody patterns with disease status without knowing in advance the disease-specific antibodies. Beyond the life sciences, we want to embed 10.000 peptides per cm2 within an insulating layer of alkane thiols, each on a different gold pad of a specially designed screening chip. Then, we could readout I/V characteristics of individual peptide species, and eventually find peptide-based diodes. These could be modified in their sequence and screened again for better performance. This evolution-inspired screening approach might lead to novel materials that could be used in fuel cells.

1 494 600 €

Start date: 2011-11-01, End date: 2016-10-31

Epithelial barriers protect the body against physical, chemical, and microbial insults. Intestinal epithelium is one of the most actively renewing tissues in the body and a major site of carcinogenesis. Functional in vitro models of intestinal epithelium have been pursued for a long time. They are key elements in basic research, disease modelling, drug discovery, and tissue replacing and have become prime models for adult stem cell research. By taking advantage of the self-organizing properties of intestinal stem cells, intestinal organoids have been recently established, showing cell renewal’s kinetics resembling to the one found in vivo. However, the development of in vitro 3D tissue equivalents accounting for the dimensions, architecture and access to the luminal contents of the in vivo human intestinal tissue together with its self-renewal properties and cell complexity, remains a challenge. The goal of this project is to engineer intestinal epithelial tissue models that mimic physiological characteristics found in in vivo human intestinal tissue, to open up new areas of research on human intestinal diseases. The proposed models will address the in vivo intestinal epithelial cell renewal and migration, the multicell-type differentiation and the epithelial cell interactions with the underlying basement membrane while providing access to the luminal content to go beyond the state-of-the-art organoid models. To do this, we propose to develop an experimental setup that combines microfabrication techniques, tissue engineering components and recent advances in intestinal stem cell research, exploiting stem cell self-organizing characteristics. We anticipate this setup to recapitulate the 3D morphology, the spatio-chemical gradients and the dynamic microenvironment of the living tissue. We expect the new device to prove useful in understanding cell physiology, adult stem cell behaviour, and organ development as well as in modelling human intestinal diseases.

1 997 190 €

Start date: 2015-12-01, End date: 2020-11-30

Space benefits mankind through the services it provides to Earth. Future space activities progress thanks to space transfer and are safeguarded by space situation awareness. Natural orbit perturbations are responsible for the trajectory divergence from the nominal two-body problem, increasing the requirements for orbit control; whereas, in space situation awareness, they influence the orbit evolution of space debris that could cause hazard to operational spacecraft and near Earth objects that may intersect the Earth. However, this project proposes to leverage the dynamics of natural orbit perturbations to significantly reduce current extreme high mission cost and create new opportunities for space exploration and exploitation. The COMPASS project will bridge over the disciplines of orbital dynamics, dynamical systems theory, optimisation and space mission design by developing novel techniques for orbit manoeuvring by “surfing” through orbit perturbations. The use of semi-analytical techniques and tools of dynamical systems theory will lay the foundation for a new understanding of the dynamics of orbit perturbations. We will develop an optimiser that progressively explores the phase space and, though spacecraft parameters and propulsion manoeuvres, governs the effect of perturbations to reach the desired orbit. It is the ambition of COMPASS to radically change the current space mission design philosophy: from counteracting disturbances, to exploiting natural and artificial perturbations. COMPASS will benefit from the extensive international network of the PI, including the ESA, NASA, JAXA, CNES, and the UK space agency. Indeed, the proposed idea of optimal navigation through orbit perturbations will address various major engineering challenges in space situation awareness, for application to space debris evolution and mitigation, missions to asteroids for their detection, exploration and deflection, and in space transfers, for perturbation-enhanced trajectory design.

1 499 021 €

Start date: 2016-08-01, End date: 2021-07-31

"The last few years have seen a growing interest for computational cell mechanics. This field encompasses different scales ranging from individual monomers, cytoskeleton constituents, up to the full cell. Its focus, fueled by the development of interdisciplinary collaborative efforts between engineering, computer science and biology, until recently relatively isolated, has allowed for important breakthroughs in biomedicine, bioengineering or even neurology. However, the natural “knowledge barrier” between fields often leads to the use of one numerical tool for one bioengineering application with a limited understanding of either the tool or the field of application itself. Few groups, to date, have the knowledge and expertise to properly avoid both pits. Within the computational mechanics realm, new methods aim at bridging scale and modeling techniques ranging from density functional theory up to continuum modeling on very large scale parallel supercomputers. To the best of the knowledge of the author, a thorough and comprehensive research campaign aiming at bridging scales from proteins to the cell level while including its interaction with its surrounding media/stimulus is yet to be done. Among all cells, neurons are at the heart of tremendous medical challenges (TBI, Alzheimer, etc.). In nearly all of these challenges, the intrinsic coupling between mechanical and chemical mechanisms in neuron is of drastic relevance. I thus propose here the development of a neuron model constituted of length-scale dedicated numerical techniques, adequately bridged together. As an illustration of its usability, the model will be used for two specific applications: neurite growth and electrical-chemical-mechanical coupling in neurons. This multiscale computational framework will ultimately be made available to the bio- medical community to enhance their knowledge on neuron deformation, growth, electrosignaling and thus, Alzheimer’s disease, cancer or TBI."

1 128 960 €

Start date: 2013-05-01, End date: 2018-04-30

Twenty years of research in magnetocaloric materials has failed to provide the necessary breakthrough that will lead to a commercial realisation of this technology and satisfy the urgent global need for more efficient refrigeration. We strongly believe that this is a result of looking in the wrong direction. The cool innov project will achieve this breakthrough by rethinking the whole concept of caloric cooling. We are rejecting the conventional idea of squeezing the best out of magneto-structural phase-change materials in relatively low magnetic fields, and instead we introduce a second stimulus in the form of pressure so that we can exploit, rather than avoid, the hysteresis that is inherent in these materials. The hysteresis will allow us to lock-in the magnetisation at saturation as the magnetising field is removed, so that magnetic fields persisting over a large area will no longer be required (instead, we can use a very focused field), and then demagnetise the material in a second step with an applied stress, enabling us to extract a lot more heat. In this case we only need to apply the magnetic field to a small volume of material, making it a completely new application for commercially available, high-temperature, YBCO-type, bulk superconducting permanent magnets. With the high-field, multi-stimuli approach proven, we will develop new magneto/mechanocaloric materials that match the new high-field, hysteresis-positive approach and start to fabricate novel heat-exchanger structures using additive manufacturing, so that we can combine a mechanically sound heat exchanger having a complex geometry with locally tailored, magneto/mechanocaloric properties. The success of cool innov will be game changing. We are being very ambitious in targeting a revolution in cooling technology, but if we succeed, we will have a huge impact on global energy consumption through greater efficiency, thanks to the novel energy materials that will be discovered within cool innov.

2 499 000 €

Start date: 2017-10-01, End date: 2022-09-30

The last decades have witnessed major progress in our understanding of the basic physics of soft matter materials. At the same time, microfluidics has also undergone spectacular theoretical and experimental progress. The confluence of such major advances spawns unprecedented opportunities for the design and manufacturing of new soft mesoscale materials, with promising applications in tissue engineering, photonics, catalysis and many others. COPMAT is targeted at making the most this opportunity through the pursuit of a single general goal: the full-scale simulation at nanometric resolution of micro-reactors for the design and synthesis of new tunable porous materials. In particular, we shall focus on the microfluidic design of: multi-jel materials, trabecular porous media and soft mesoscale molecules. We shall also explore new designs concepts based on unexplored microscale phenomena, such as the interaction between plasticity and nano-rugosity. The complex interplay between the highly non-linear rheology of soft materials and the major experimental control parameters leads to an engineering design of formidable complexity, characterized by a strong sensitivity of the macroscale material properties on the details of nanoscale interfacial interactions. COPMAT will tackle this formidable multiscale challenge through the deployment of an entirely new family of multiscale techniques, centered upon highly innovative extensions of the Lattice Boltzmann method and its combinations with Immersed Boundary Method, Dissipative Particle Dynamics and Dissipative Voronoi Dynamics. The success of COPMAT will be gauged by its capability of inspiring and realizing the design of microfluidic devices for the synthesis of novel families of porous materials for bio-engineering applications. The new paradigm established by COPMAT for the computational design of soft materials is expected to extend well beyond the time-horizon of the project.

1 880 060 €

Start date: 2017-10-01, End date: 2022-09-30

Proposal summary (half page) The vision is firstly, to develop correlative tomography to radically increase the nature and level of information (morphological, structural and chemical) that can be obtained for a 3D volume of interest (VoI) deep within a material or component by coupling non-destructive (3D+time) X-ray tomography with destructive (3D) electron tomography and, secondly to exploit this new approach to shed light on damage accumulation processes arising under demanding conditions. Successful completion of this project will provide new 3D & 4D insights across many areas and yield key experimental data for multiscale models. Objective 1: To build the capability of correlative tomography - To connect platforms across scales and modalities in order to track a VoI that may be located deep below the surface and to combine multiple techniques within a single platform. - To add new facets to correlative tomography including + 3D chemical imaging + 3D crystal grain mapping + the local stress distribution + mechanical performance mapping at the VoI scale Objective 2: To apply it to gain new insights into damage accumulation Correlative tomography will provide a much richer multi-faceted hierarchical picture of materials behaviour from life science to food science from geology to cultural heritage. This project will focus specifically on identifying the nucleation, propagation and aggregation of damage processes in engineering materials. - We will identify and track the mechanisms that control the progressive degradation of conventional bulk engineering materials operating under demanding conditions. - We will examine the hierarchical strategies nature uses to control failure in natural materials through heterogeneous chemistry, morphology and properties. Alongside this we will examine the behaviour of man-made nano-structured analogues and whether we can exploit some of these strategies.

2 926 425 €

Start date: 2016-11-01, End date: 2021-10-31

Metal organic frameworks (MOFs) are recently considered as new fascinating nanoporous materials. MOFs have very large surface areas, high porosities, various pore sizes/shapes, chemical functionalities and good thermal/chemical stabilities. These properties make MOFs highly promising for gas separation applications. Thousands of MOFs have been synthesized in the last decade. The large number of available MOFs creates excellent opportunities to develop energy-efficient gas separation technologies. On the other hand, it is very challenging to identify the best materials for each gas separation of interest. Considering the continuous rapid increase in the number of synthesized materials, it is practically not possible to test each MOF using purely experimental manners. Highly accurate computational methods are required to identify the most promising MOFs to direct experimental efforts, time and resources to those materials. In this project, I will build a complete MOF library and use molecular simulations to assess adsorption and diffusion properties of gas mixtures in MOFs. Results of simulations will be used to predict adsorbent and membrane properties of MOFs for scientifically and technologically important gas separation processes such as CO2/CH4 (natural gas purification), CO2/N2 (flue gas separation), CO2/H2, CH4/H2 and N2/H2 (hydrogen recovery). I will obtain the fundamental, atomic-level insights into the common features of the top-performing MOFs and establish structure-performance relations. These relations will be used as guidelines to computationally design new MOFs with outstanding separation performances for CO2 capture and H2 recovery. These new MOFs will be finally synthesized in the lab scale and tested as adsorbents and membranes under practical operating conditions for each gas separation of interest. Combining a multi-stage computational approach with experiments, this project will lead to novel, efficient gas separation technologies based on MOFs.

1 500 000 €

Start date: 2017-10-01, End date: 2022-09-30

Turbulence is a multiscale phenomenon for which control efforts have often failed because the dimension of the attractor is large. However, kinetic energy and drag are controlled by relatively few slowly evolving large structures that sit on top of a multiscale cascade of smaller eddies. They are essentially single-scale phenomena whose evolution can be described using less information than for the full flow. In evolutionary terms they are punctuated ‘equilibria’ for which chaotic evolution is only intermittent. The rest of the time they can be considered coherent and predictable for relatively long periods. Coherent structures studied in the 1970s in free-shear flows (e.g. jets) eventually led to increased understanding and to industrial applications. In wall-bounded cases (e.g. boundary layers), proposed structures range from exact permanent waves and orbits to qualitative observations such as hairpins or ejections. Although most of them have been described at low Reynolds numbers, there are reasons to believe that they persist at higher ones in the ‘LES’ sense in which small scales are treated statistically. Recent computational and experimental advances provide enough temporally and spatially resolved data to quantify the relevance of such models to fully developed flows. We propose to use mostly existing numerical data bases to test the various models of wall-bounded coherent structures, to quantify how often and how closely the flow approaches them, and to develop moderate-time predictions. Existing solutions will be extended to the LES equations, methods will be sought to identify them in fully turbulent flows, and reduced-order models will be developed and tested. In practical situations, the idea is to be able to detect large eddies and to predict them ‘most of the time’. If simple enough models are found, the process will be implemented in the laboratory and used to suggest control strategies.

2 497 000 €

Start date: 2016-02-01, End date: 2021-01-31

With this proposal, I seek to develop the gas separating membranes of the future. The overall aim is to produce composite membranes comprising engineered Metal Organic Framework (MOF) particles and polymers in the form of Mixed Matrix Membranes (MMMs). By applying these new membranes, energetically more efficient separations will be possible. Despite the superior performance of membranes only based on crystalline materials like zeolites or MOFs, polymeric membranes rule the commercial scene thanks to their easy processing, high reproducibility and mechanical strength. However, the existing polymeric membrane materials are not optimal: improvements in permeability are always at the expense of selectivity and vice versa, while plasticization threatens their application at high pressures. This research aims at utilizing the best of both fields by combining the high selectivity of MOFs with the easy processing of polymers in the form of Mixed Matrix Membranes. The main barrier to achieve this goal is the optimization of the MOF-polymer interaction and mass transport through the composite. This is very challenging because chemical compatibility, particle morphology and filler dispersion play a key role. Innovatively the project will be the first systematic study into this multi-scale phenomenon with investigations at all relevant interactions, including MOF particle tuning targeting the application in MMMs. A thorough study on the synthesis of the selected MOF structures and on the performance of the composites will allow engineering MOFs at the molecular and particle levels, resulting in higher selectivity and faster transport. The use of flexible MOF structures will not only allow a better membrane processing but will also reduce polymer plasticization. This research will deliver a new generation of mixed matrix membranes, outperforming the state of the art polymeric membranes.

1 467 510 €

Start date: 2013-09-01, End date: 2018-08-31