ERC FUNDED PROJECTS

The goal of 2D-TOPSENSE is to exploit the remarkable stretchability of two-dimensional semiconductors to fabricate optoelectronic devices where strain is used as an external knob to tune their properties. While bulk semiconductors tend to break under strains larger than 1.5%, 2D semiconductors (such as MoS2) can withstand deformations of up to 10-20% before rupture. This large breaking strength promises a great potential of 2D semiconductors as ‘straintronic’ materials, whose properties can be adjusted by applying a deformation to their lattice. In fact, recent theoretical works predicted an interesting physical phenomenon: a tensile strain-induced semiconductor-to-metal transition in 2D semiconductors. By tensioning single-layer MoS2 from 0% up to 10%, its electronic band structure is expected to undergo a continuous transition from a wide direct band-gap of 1.8 eV to a metallic behavior. This unprecedented large strain-tunability will undoubtedly have a strong impact in a wide range of optoelectronic applications such as photodetectors whose cut-off wavelength is tuned by varying the applied strain or atomically thin light modulators. To date, experimental works on strain engineering have been mostly focused on fundamental studies, demonstrating part of the potential of 2D semiconductors in straintronics, but they have failed to exploit strain engineering to add extra functionalities to optoelectronic devices. In 2D-TOPSENSE I will go beyond the state of the art in straintronics by designing and fabricating optoelectronic devices whose properties and performance can be tuned by means of applying strain. 2D-TOPSENSE will focus on photodetectors with a tunable bandwidth and detectivity, light emitting devices whose emission wavelength can be adjusted, light modulators based on 2D semiconductors such as transition metal dichalcogenides or black phosphorus and solar funnels capable of directing the photogenerated charge carriers towards a specific position.

1 930 437 €

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

Design of new thermoelectric devices based on layered and field modulated nanostructures of strongly correlated electron systems

1 427 190 €

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

Optical, electron and probe microscopes are enabling tools for discoveries and knowledge generation in nanoscale sicence and technology. High resolution –nanoscale or molecular-, noninvasive and label-free imaging of three-dimensional soft matter-liquid interfaces has not been achieved by any microscopy method. Force microscopy (AFM) is considered the second most relevant advance in materials science since 1960. Despite its impressive range of applications, the technique has some key limitations. Force microscopy has not three dimensional depth. What lies above or in the subsurface is not readily characterized. 3DNanoMech proposes to design, build and operate a high speed force-based method for the three-dimensional characterization soft matter-liquid interfaces (3D AFM). The microscope will combine a detection method based on force perturbations, adaptive algorithms, high speed piezo actuators and quantitative-oriented multifrequency approaches. The development of the microscope cannot be separated from its applications: imaging the error-free DNA repair and to understand the relationship existing between the nanomechanical properties and the malignancy of cancer cells. Those problems encompass the different spatial –molecular-nano-mesoscopic- and time –milli to seconds- scales of the instrument. In short, 3DNanoMech aims to image, map and measure with picoNewton, millisecond and angstrom resolution soft matter surfaces and interfaces in liquid. The long-term vision of 3DNanoMech is to replace models or computer animations of bimolecular-liquid interfaces by real time, molecular resolution maps of properties and processes.

2 499 928 €

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

It was early predicted by M. Green and coeval colleagues that dividing the solar spectrum into narrow ranges of colours is the most efficient manner to convert solar energy into electrical power. Multijunction solar cells are the current solution to this challenge, which have reached over 30% conversion efficiencies by stacking 3 junctions together. However, the large fabrication costs and time hinders their use in everyday life. It has been shown that highly mismatched alloy (HMA) materials provide a powerful playground to achieve at least 3 different colour absorption regions that enable optimised energy conversion with just one junction. Combining HMA-based junctions with standard Silicon solar cells will rocket solar conversion efficiency at a reduced price. To turn this ambition into marketable devices, several efforts are still needed and few challenges must be overcome. 4SUNS is a revolutionary approach for the development of HMA materials on Silicon technology, which will bring highly efficient multi-colour solar cells costs below current multijunction devices. The project will develop the technology of HMA materials on Silicon via material synthesis opening a new technology for the future. The understanding and optimization of highly mismatched alloy materials-using GaAsNP alloy- will provide building blocks for the fabrication of laboratory-size 4-colours/2-junctions solar cells. Using a molecular beam epitaxy system, 4SUNS will grow 4-colours/2-junctions structure as well as it will manufacture the final devices. Structural and optoelectronic characterizations will carry out to determine the quality of the materials and the solar cells characteristic to obtain a competitive product. These new solar cells are competitive products to breakthrough on the solar energy sector solar cells and allowing Europe to take leadership on high efficiency solar cells.

1 499 719 €

Start date: 2018-02-01, End date: 2023-01-31

"We propose to study different questions in the area of the so called geometric analysis. Most of the topics we are interested in deal with the connection between the behavior of singular integrals and the geometry of sets and measures. The study of this connection has been shown to be extremely helpful in the solution of certain long standing problems in the last years, such as the solution of the Painlev\'e problem or the obtaining of the optimal distortion bounds for quasiconformal mappings by Astala. More specifically, we would like to study the relationship between the L^2 boundedness of singular integrals associated with Riesz and other related kernels, and rectifiability and other geometric notions. The so called David-Semmes problem is probably the main open problem in this area. Up to now, the techniques used to deal with this problem come from multiscale analysis and involve ideas from Littlewood-Paley theory and quantitative techniques of rectifiability. We propose to apply new ideas that combine variational arguments with other techniques which have connections with mass transportation. Further, we think that it is worth to explore in more detail the connection among mass transportation, singular integrals, and uniform rectifiability. We are also interested in the field of quasiconformal mappings. We plan to study a problem regarding the quasiconformal distortion of quasicircles. This problem consists in proving that the bounds obtained recently by S. Smirnov on the dimension of K-quasicircles are optimal. We want to apply techniques from quantitative geometric measure theory to deal with this question. Another question that we intend to explore lies in the interplay of harmonic analysis, geometric measure theory and partial differential equations. This concerns an old problem on the unique continuation of harmonic functions at the boundary open C^1 or Lipschitz domain. All the results known by now deal with smoother Dini domains."

1 105 930 €

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

Cold atmospheric pressure plasmas (APP) have been reported to selectively kill cancer cells without damaging the surrounding tissues. Studies have been conducted on a variety of cancer types but to the best of our knowledge not on any kind of bone cancer. Treatment options for bone cancer include surgery, chemotherapy, etc. and may involve the use of bone grafting biomaterials to replace the surgically removed bone. APACHE brings a totally different and ground-breaking approach in the design of a novel therapy for bone cancer by taking advantage of the active species generated by APP in combination with biomaterials to deliver the active species locally in the diseased site. The feasibility of this approach is rooted in the evidence that the cellular effects of APP appear to strongly involve the suite of reactive species created by plasmas, which can be derived from a) direct treatment of the malignant cells by APP or b) indirect treatment of the liquid media by APP which is then put in contact with the cancer cells. In APACHE we aim to investigate the fundamentals involved in the lethal effects of cold plasmas on bone cancer cells, and to develop improved bone cancer therapies. To achieve this we will take advantage of the highly reactive species generated by APP in the liquid media, which we will use in an incremental strategy: i) to investigate the effects of APP treated liquid on bone cancer cells, ii) to evaluate the potential of combining APP treated liquid in a hydrogel vehicle with/wo CaP biomaterials and iii) to ascertain the potential three directional interactions between APP reactive species in liquid medium with biomaterials and with chemotherapeutic drugs. The methodological approach will involve an interdisciplinary team, dealing with plasma diagnostics in gas and liquid media; with cell biology and the effects of APP treated with bone tumor cells and its combination with biomaterials and/or with anticancer drugs.

1 499 887 €

Start date: 2017-04-01, End date: 2022-03-31

For a large family of computational problems collectively known as constrained optimization and satisfaction problems (CSPs), four decades of research in algorithms and computational complexity have led to a theory that tries to classify them as algorithmically tractable vs. intractable, i.e. polynomial-time solvable vs. NP-hard. However, there remains an important gap in our knowledge in that many CSPs of interest resist classification by this theory. Some such problems of practical relevance include fundamental partition problems in graph theory, isomorphism problems in combinatorics, and strategy-design problems in mathematical game theory. To tackle this gap in our knowledge, the research of the last decade has been driven either by finding hard instances for algorithms that solve tighter and tighter relaxations of the original problem, or by formulating new hardness-hypotheses that are stronger but admittedly less robust than NP-hardness. The ultimate goal of this project is closing the gap between the partial progress that these approaches represent and the original classification project into tractable vs. intractable problems. Our thesis is that the field has reached a point where, in many cases of interest, the analysis of the current candidate algorithms that appear to solve all instances could suffice to classify the problem one way or the other, without the need for alternative hardness-hypotheses. The novelty in our approach is a program to develop our recent discovery that, in some cases of interest, two methods from different areas match in strength: indistinguishability pebble games from mathematical logic, and hierarchies of convex relaxations from mathematical programming. Thus, we aim at making significant advances in the status of important algorithmic problems by looking for a general theory that unifies and goes beyond the current understanding of its components.

1 725 656 €

Start date: 2015-06-01, End date: 2020-05-31

Over the past 20 years cosmology has made the transition to a precision science: the standard cosmological model has been established and its parameters are now measured with unprecedented precision. But precision is not enough: accuracy is also crucial. Accuracy accounts for systematic errors which can be both on the observational and on the theory/modelling side (and everywhere in between). While there is a well-defined and developed framework for treating statistical errors, there is no established approach for systematic errors. The next decade will see the era of large surveys; a large coordinated effort of the scientific community in the field is on-going to map the cosmos producing an exponentially growing amount of data. This will shrink the statistical errors, making mitigation and control of systematics of the utmost importance. While there are isolated and targeted efforts to quantify systematic errors and propagate them through all the way to the final results, there is no well-established, self-consistent methodology. To go beyond precision cosmology and reap the benefits of the forthcoming observational program, a systematic approach to systematics is needed. Systematics should be interpreted in the most general sense as shifts between the recovered measured values and true values of physical quantities. I propose to develop a comprehensive approach to tackle systematic errors with the goal to uncover and quantify otherwise unknown differences between the interpretation of a measurement and reality. This will require to fully develop, combine and systematize all approaches proposed so far (many pioneered by the PI), develop new ones to fill the gaps, study and explore their interplay and finally test and validate the procedure. Beyond Precision Cosmology: Dealing with Systematic Errors (BePreSysE) will develop a framework to deal with systematics in forthcoming Cosmological surveys which, could, in principle, be applied beyond Cosmology.

1 835 220 €

Start date: 2017-06-01, End date: 2022-05-31

The selective functionalization of C-H and C=C bonds remains a formidable unsolved problem, owing to their inert nature. Novel alkane and alkene oxidation reactions exhibiting good and/or unprecedented selectivities will have a big impact on bulk and fine chemistry by opening novel methodologies that will allow removal of protection-deprotection sequences, thus streamlining synthetic strategies. These goals are targeted in this project via design of iron and manganese catalysts inspired by structural elements of the active site of non-heme enzymes of the Rieske Dioxygenase family. Selectivity is pursued via rational design of catalysts that will exploit substrate recognition-exclusion phenomena, and control over proton and electron affinity of the active species. Moreover, these catalysts will employ H2O2 as oxidant, and will operate under mild conditions (pressure and temperature). The fundamental mechanistic aspects of the catalytic reactions, and the species implicated in C-H and C=C oxidation events will also be studied with the aim of building on the necessary knowledge to design future generations of catalysts, and provide models to understand the chemistry taking place in non-heme iron and manganese-dependent oxygenases.

1 299 998 €

Start date: 2009-11-01, End date: 2015-10-31

The use of renewable feedstocks by the chemical industry is fundamental due to both the depletion of fossil resources and the increasing pressure of environmental concerns. Biomass can act as a sustainable source of organic industrial chemicals; however, the establishment of a renewable chemical industry that is economically competitive with the present oil-based one requires the development of new processes to convert biomass-derived compounds into useful industrial materials following the principles of green chemistry. To achieve these goals, developments in several fields including heterogeneous catalysis are needed. One of the ways to accelerate the discovery of new potentially active, selective and stable catalysts is the massive use of computational chemistry. Recent advances have demonstrated that Density Functional Theory coupled to ab initio thermodynamics, transition state theory and microkinetic analysis can provide a full view of the catalytic phenomena. The aim of the present project is thus to employ these well-tested computational techniques to the development of a theoretical framework that can accelerate the identification of new catalysts for the conversion of biomass derived target compounds into useful chemicals. Since compared to petroleum-based materials-biomass derived ones are multifuncionalized, the search for new catalytic materials and processes has a strong requirement in the selectivity of the chemical transformations. The main challenges in the project are related to the high functionalization of the molecules, their liquid nature and the large number of potentially competitive reaction paths. The requirements of specificity and selectivity in the chemical transformations while keeping a reasonably flexible framework constitute a major objective. The work will be divided in three main work packages, one devoted to the properties of small molecules or fragments containing a single functional group; the second addresses competition in multiple functionalized molecules; and third is dedicated to the specific transformations of two molecules that have already been identified as potential platform generators. The goal is to identify suitable candidates that could be synthetized and tested in the Institute facilities.

1 496 200 €

Start date: 2010-10-01, End date: 2015-09-30

Uncertainty is everywhere, as the saying goes, but rarely considered in ethical reflections. This project aims to reinterpret ethical discussions on current advances in biomedicine: instead of understanding bioethical positions as extensions of classical normative views in ethics (consequentialism, deontologism, contractualism etc.), my project interprets them more accurately as involving various normative approaches to decision making under uncertainty. The following hard cases in bioethics provide the motivation for research: 1) Regulating scientific research under uncertainty about the ontological/moral status (e.g. parthenogenetic stem cells derived from human parthenotes) in the context of meta-reasoning under normative uncertainty. 2) The value of preventive medicine in healthcare (e.g. vaccinations) in the context of decision-making under metaphysical indeterminacy. 3) Population or reproductive decisions (e.g. preimplantation genetic diagnosis) in the context of valuing mere existence. The main drive behind this project is the rapid progress in biomedical research combined with new kinds of uncertainties. These new and “deep” uncertainties trigger specific forms of emotions and cognitions that influence normative judgments and decisions. The main research questions that will be addressed by conceptual analysis, new psychological experiments, and case studies are the following: how do the heuristics and biases (H&B) documented by behavioral scientists influence the formation of normative judgments in bioethical contexts; how to demarcate between distorted and undistorted value judgments; to what extent is it permissible for individuals or policy makers to yield to H&B. The hypothesis is that many existing bioethical rules, regulations, practices seem to have emerged from unreliable reactions, rather than by means of deliberation on the possible justifications for alternative ways to decide about them under several layers and types of uncertainty.

1 499 625 €

Start date: 2019-02-01, End date: 2024-01-31

In order to celebrate mathematics in the new millennium, the Clay Mathematics Institute established seven $1.000.000 Prize Problems. One of these is the conjecture of Birch and Swinnerton-Dyer (BSD), widely open since the 1960's. The main object of this proposal is developing innovative and unconventional strategies for proving groundbreaking results towards the resolution of this problem and their generalizations by Bloch and Kato (BK). Breakthroughs on BSD were achieved by Coates-Wiles, Gross, Zagier and Kolyvagin, and Kato. Since then, there have been nearly no new ideas on how to tackle BSD. Only very recently, three independent revolutionary approaches have seen the light: the works of (1) the Fields medalist Bhargava, (2) Skinner and Urban, and (3) myself and my collaborators. In spite of that, our knowledge of BSD is rather poor. In my proposal I suggest innovating strategies for approaching new horizons in BSD and BK that I aim to develop with the team of PhD and postdoctoral researchers that the CoG may allow me to consolidate. The results I plan to prove represent a departure from the achievements obtained with my coauthors during the past years: I. BSD over totally real number fields. I plan to prove new ground-breaking instances of BSD in rank 0 for elliptic curves over totally real number fields, generalizing the theorem of Kato (by providing a new proof) and covering many new scenarios that have never been considered before. II. BSD in rank r=2. Most of the literature on BSD applies when r=0 or 1. I expect to prove p-adic versions of the theorems of Gross-Zagier and Kolyvagin in rank 2. III. Darmon's 2000 conjecture on Stark-Heegner points. I plan to prove Darmon’s striking conjecture announced at the ICM2000 by recasting it in terms of special values of p-adic L-functions.

1 428 588 €

Start date: 2016-09-01, End date: 2021-08-31

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

Li-ion battery is ubiquitous and has emerged as the major contender to power electric vehicles, yet Li-ion is slowly but surely reaching its limits and controversial debates on lithium supply cannot be ignored. New sustainable battery chemistries must be developed and the most appealing alternatives are to use Ca or Mg metal anodes which would bring a breakthrough in terms of energy density relying on much more abundant elements. Since Mg and Ca do not appear to be plagued by dendrite formation like Li, metal anodes could thus safely be used. While standard electrolytes forming stable passivation layers at the electrode/electrolyte interfaces enabled the success of the Li-ion technology, the migration of divalent cations through a passivation layer was thought to be impossible. Thus, all research efforts to date have been devoted to the formulation of electrolytes that do not form such layer. This approach comes with complex electrolyte, highly corrosive and with narrow electrochemical stability window leading to incompatibility with high voltage cathodes thus penalizing energy density. The applicant demonstrated that calcium can be reversibly plated and stripped through a stable passivation layer when transport properties within the electrolyte are tuned (decreasing ion pair formation). CAMBAT aims at developing new electrolytes forming stable passivation layers and allowing the migration of Ca2+ and Mg2+. Such a dramatic shift in the methodology would allow considering a completely new family of electrolytes enabling the evaluation of high voltage cathode materials that cannot be tested in the electrolytes available nowadays. 1Ah prototype cells will be assembled as proof of concept, targets for energy density and cost being ca. 300 Wh/kg and 250 $/kWh, respectively, thus doubling the energy density while dividing by at least a factor of 2 the price when compared to state of the art Li-ion batteries and having the potential for being SAFER (absence of dendrite).

1 688 705 €

Start date: 2017-01-01, End date: 2021-12-31

Carbon nanotubes and graphene form a class of nanoscale objects with exceptional electrical, mechanical and structural properties. I propose to exploit these unique properties to fabricate and study various nanoelectromechanical systems (NEMS) based on graphene and nanotubes. Specifically, I will address two directions with major scientific interests: 1- I propose to study electromechanical resonators based on an individual nanotube or on a single layer of graphene. My group has a leading position in this recent research field and the idea is to take advantage of our expertise for two sets of experiments, one on inertial mass sensing and one on the exploration of quantum motion. These two topics are generating at present an intense activity in the NEMS community. Experiments are usually carried out using microfabricated silicon resonators but the ultra low mass of nanotubes and graphene has here an enormous asset. It drastically improves the sensitivity of mass sensing and it dramatically enhances the amplitude of the motion in the quantum regime. 2- My team will fabricate and exploit nanomotors based on nanotube and graphene. Only few man-made nanomotors have been demonstrated so far. Reasons are multiple. For instance, the fabrication of nanomotors is technically challenging. In addition, friction forces are often so strong that they hinder motion. Because of their unique properties, nanotubes and graphene represent a material of choice for the development of new nanomotors. We will construct nanomotors with different layouts and address how electrical, thermal or chemical energy can be transformed into mechanical energy in order to drive motion at the nanoscale.

1 996 789 €

Start date: 2012-01-01, End date: 2016-12-31

We plan to chase new goals by exploring the limits of gold chemistry and organic synthesis. A major goal is to promote copper to the level of gold as the catalyst of choice for the activation of alkynes under homogeneous conditions. Another major goal is to develop enantioselective reactions based on a new chiral catalyst design to overcome the inherent limitations of the linear coordination of d10 M(I) coinage metals. We whish to contribute to bridge the gap between homogeneous and heterogeneous gold catalysis discovering new reactions for C-C bond formation via cross-coupling and C-H activation. We will apply new methods based on Au catalysis to fill the gap that exists between chemical synthesis and physical methods such as graphite exfoliation or laser ablation for the synthesis of nanographenes and other large acenes.

2 499 060 €

Start date: 2013-03-01, End date: 2018-02-28

We propose to carry out a project which will produce a decisive step towards improving the accuracy of the Hubble constant as determined from the Cepheid-SN Ia method to 1%, by using 28 extremely rare eclipsing binary systems in the LMC which offer the potential to determine their distances to 1%. To achieve this accuracy we will reduce the main error in the binary method by interferometric angular diameter measurements of a sample of red clump stars which resemble the stars in our binary systems. We will check on our calibration with similar binary systems close enough to determine their orbits from interferometry. We already showed the feasibility of our method which yielded the best-ever distance determination to the LMC of 2.2% from 8 such binary systems. With 28 systems and the improved angular diameter calibration we will push the LMC distance uncertainty down to 1% which will allow to set the zero point of the Cepheid PL relation with the same accuracy using the large available LMC Cepheid sample. We will determine the metallicity effect on Cepheid luminosities by a) determining a 2% distance to the more metal-poor SMC with our binary method, and by b) measuring the distances to LMC and SMC with an improved Baade-Wesselink (BW) method. We will achieve this improvement by analyzing 9 unique Cepheids in eclipsing binaries in the LMC our group has discovered which allow factor- of-ten improvements in the determination of all basic physical parameters of Cepheids. These studies will also increase our confidence in the Cepheid-based H0 determination. Our project bears strong synergy to the Gaia mission by providing the best checks on possible systematic uncertainties on Gaia parallaxes with 200 binary systems whose distances we will measure to 1-2%. We will provide two unique tools for 1-3 % distance determinations to individual objects in a volume of 1 Mpc, being competitive to Gaia already at a distance of 1 kpc from the Sun.

2 360 500 €

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

Computer-generated imagery is now ubiquitous in our society, spanning fields such as games and movies, architecture, engineering, or virtual prototyping, while also helping create novel ones such as computational materials. With the increase in computational power and the improvement of acquisition techniques, there has been a paradigm shift in the field towards data-driven techniques, which has yielded an unprecedented level of realism in visual appearance. Unfortunately, this leads to a series of problems, identified in this proposal: First, there is a disconnect between the mathematical representation of the data and any meaningful parameters that humans understand; the captured data is machine-friendly, but not human friendly. Second, the many different acquisition systems lead to heterogeneous formats and very large datasets. And third, real-world appearance functions are usually nonlinear and high-dimensional. As a result, visual appearance datasets are increasingly unfit to editing operations, which limits the creative process for scientists, engineers, artists and practitioners in general. There is an immense gap between the complexity, realism and richness of the captured data, and the flexibility to edit such data. We believe that the current research path leads to a fragmented space of isolated solutions, each tailored to a particular dataset and problem. We propose a research plan at the theoretical, algorithmic and application levels, putting the user at the core. We will learn key relevant appearance features in terms humans understand, from which intuitive, predictable editing spaces, algorithms, and workflows will be defined. In order to ensure usability and foster creativity, we will also extend our research to efficient simulation of visual appearance, exploiting the extra dimensionality of the captured datasets. Achieving our goals will finally enable us to reach the true potential of real-world captured datasets in many aspects of society.

1 629 519 €

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

We propose to develop new chemometric and high-throughput analytical methods to assess the effects of environmental and climate changes on target biological systems which are representative of ecosystems. This project will combine powerful chemometric and analytical high-throughput methodologies with toxicological tests to examine the effects of environmental stressors (like chemical pollution) and of climate change (like temperature, water scarcity or food shortage), on genomic and metabonomic profiles of target biological systems. The complex nature of experimental data produced by high-throughput analytical techniques, such as DNA microarrays, hyphenated chromatography-mass spectrometry or multi-dimensional nuclear magnetic resonance spectroscopy, requires powerful data analysis tools to extract, summarize and interpret the large amount of information that such megavariate data sets may contain. There is a need to improve and automate every step in the analysis of the data generated from genomic and metabonomic studies using new chemometric and multi- and megavariate tools. The main purpose of this project is to develop such tools. As a result of the whole study, a detailed report on the effects of global change and chemical pollution on the genomic and metabonomic profiles of a selected set of representative target biological systems will be delivered and used for global risk assessment. The information acquired, data sets and computer software will be stored in public data bases using modern data compression and data management technologies. And all the methodologies developed in the project will be published.

2 454 280 €

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

The aim of the present project is to answer fundamental questions about how to introduce chirality into a variety of carbon nanostructures and how it modifies the properties in the search for new applications in materials science and nanotecnology. Thus, it describes a fundamental and technological research program designed to gain new knowledge for the development of novel covalent and supramolecular chiral carbon nanoforms, and their further chemical modification for the preparation of sophisticated supramolecular 3D nanoarchitectures. Our research activity should reinforce and integrate the strong position of Europe in the knowledge of carbon nanoforms. This important scientific challenge has not been properly addressed so far due to the inherent difficulties to work on these materials and, particularly, to the lack of an efficient chemical protocol to prepare chiral carbon nanoforms.

2 235 000 €

Start date: 2013-04-01, End date: 2019-03-31

Textile objects pervade human environments and their versatile manipulation by robots would open up a whole range of possibilities, from increasing the autonomy of elderly and disabled people, housekeeping and hospital logistics, to novel automation in the clothing internet business and upholstered product manufacturing. Although efficient procedures exist for the robotic handling of rigid objects and the virtual rendering of deformable objects, cloth manipulation in the real world has proven elusive, because the vast number of degrees of freedom involved in non-rigid deformations leads to unbearable uncertainties in perception and action outcomes. This proposal aims at developing a theory of cloth manipulation and carrying it all the way down to prototype implementation in our Lab. By combining powerful recent tools from computational topology and machine learning, we plan to characterize the state of textile objects and their transformations under given actions in a compact operational way (i.e., encoding task-relevant topological changes), which would permit probabilistic planning of actions (first one handed, then bimanual) that ensure reaching a desired cloth configuration despite noisy perceptions and inaccurate actions. In our approach, the robot will learn manipulation skills from an initial human demonstration, subsequently refined through reinforcement learning, plus occasional requests for user advice. The skills will be encoded as parameterised dynamical systems, and safe interaction with humans will be guaranteed by using a predictive controller based on a model of the robot dynamics. Prototypes will be developed for 3 envisaged applications: recognizing and folding clothes, putting an elastic cover on a mattress or a car seat, and helping elderly and disabled people to dress. The broad Robotics and AI background of the PI and the project narrow focus on clothing seem most appropriate to obtain a breakthrough in this hard fundamental research topic.

2 499 149 €

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

There is a fast-growing interest in extending the capabilities of computing systems to perform human-like tasks in an intelligent way. These technologies are usually referred to as cognitive computing. We envision a next revolution in computing in the forthcoming years that will be driven by deploying many “intelligent” devices around us in all kind of environments (work, entertainment, transportation, health care, etc.) backed up by “intelligent” servers in the cloud. These cognitive computing systems will provide new user experiences by delivering new services or improving the operational efficiency of existing ones, and altogether will enrich our lives and our economy. A key characteristic of cognitive computing systems will be their capability to process in real time large amounts of data coming from audio and vision devices, and other type of sensors. This will demand a very high computing power but at the same time an extremely low energy consumption. This very challenging energy-efficiency requirement is a sine qua non to success not only for mobile and wearable systems, where power dissipation and cost budgets are very low, but also for large data centers where energy consumption is a main component of the total cost of ownership. Current processor architectures (including general-purpose cores and GPUs) are not a good fit for this type of systems since they keep the same basic organization as early computers, which were mainly optimized for “number crunching”. CoCoUnit will take a disruptive direction by investigating unconventional architectures that can offer orders of magnitude better efficiency in terms of performance per energy and cost for cognitive computing tasks. The ultimate goal of this project is to devise a novel processing unit that will be integrated with the existing units of a processor (general-purpose cores and GPUs) and altogether will be able to deliver cognitive computing user experiences with extremely high energy-efficiency.

2 498 661 €

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

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

Current IT research does not respond to the world's multi-cultural reality. It could be argued that we are imposing the paradigms of our market-driven western culture also on IT and that current IT research results will only facilitate the access of a small part of the world’s information to a small part of the world's population. Most IT research is being carried out with a western centred approach and as a result, our data models, cognition models, user models, interaction models, ontologies, … are all culturally biased. This fact is quite evident in music information research, since, despite the world's richness in musical cultures, most of the research is centred on CDs and metadata of our western commercial music. CompMusic wants to break this huge research bias. By approaching musical information modelling from a multicultural perspective it aims at advancing our state of the art while facilitating the discovery and reuse of the music produced outside the western commercial context. But the development of computational models to address the world’s music information richness cannot be done from the West looking out; we have to involve researchers and musical experts immersed in the different cultures. Their contribution is fundamental to develop the appropriate multicultural musicological and cognitive frameworks from which we should then carry our research on finding appropriate musical features, ontologies, data representations, user interfaces and user centred approaches. CompMusic will investigate some of the most consolidated non-western classical music traditions, Indian (hindustani, carnatic), Turkish-Arab (ottoman, andalusian), and Chinese (han), developing the needed computational models to bring their music into the current globalized information framework. Using these music cultures as case studies, cultures that are alive and have a strong influence in current society, we can develop rich information models that can take advantage of the existing information coming from musicological and cultural studies, from mature performance practice traditions and from active social contexts. With this approach we aim at challenging the current western centred information paradigms, advance our IT research, and contribute to our rich multicultural society.

2 443 200 €

Start date: 2011-07-01, End date: 2017-06-30

Catalysis, a multidisciplinary science at the heart of many industrial processes, is crucial to deliver future growth and minimize anthropogenic environmental impact, thus being critical to our quality of life. Thus, the development and fundamental understanding of innovative new catalyst systems has clear, direct and long-term benefits to the chemical manufacturing sector and to the broader knowledge-based economy. In this ERC project I will develop novel innovative cooperative catalysts using interdisciplinary chemical systems based on main group elements, transition metals and molecular clusters to achieve better efficiency and improve chemical scope and sustainability of key chemical transformations. This will be achieved through 3 complementary and original strategies based on catalytic cooperation: (i) Transition-Metal Frustrated Lewis Pairs (TM-FLPs); (ii) hybrid systems combining low-valent heavier main group elements with transition metals (Hybrid TM/MGs); and (iii) intercluster compounds (ICCs) as versatile heterogeneized materials for Green Catalysis. These systems, of high synthetic feasibility, combine fundamental concepts from independent areas, e.g. FLPs and low-valent heavier main group elements with transition metal chemistry, and homogeneous with heterogeneous catalysis. The overall approach will be pivotal in discovering novel reactions that rely on the activation of otherwise unreactive substrates. The experience and knowledge gained from (i)-(iii) will be used to inform the design of a second generation of ICC materials in which at least one of the nanoscale bricks is based on polymetallic TM-FLPs or Hybrid TM/MG systems. Delivering ground-breaking new fundamental science, this pioneering project will lay the foundation for future broad ranging benefits to a number of EU priority areas dependant on innovations in catalysis: innovative and sustainable future energy systems, solar technologies, sustainable chemistry, manufacturing, and healthcare.

1 445 000 €

Start date: 2018-02-01, End date: 2023-01-31

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

In this proposal we plan to extend mathematical foundations of algorithms for various variants of the minimum cut problem within theoretical computer science. Recent advances in understanding the structure of small cuts and tractability of cut problems resulted in a mature algorithmic toolbox for undirected graphs under the paradigm of parameterized complexity. In this position, we now aim at a full understanding of the tractability of cut problems in the more challenging case of directed graphs, and see opportunities to apply the aforementioned successful structural approach to advance on major open problems in other paradigms in theoretical computer science. The specific goals of the project are grouped in the following three themes. Directed graphs. Chart the parameterized complexity of graph separation problems in directed graphs and provide a fixed-parameter tractability toolbox, equally deep as the one in undirected graphs. Provide tractability foundations for routing problems in directed graphs, such as the disjoint paths problem with symmetric demands. Planar graphs. Resolve main open problems with respect to network design and graph separation problems in planar graphs under the following three paradigms: parameterized complexity, approximation schemes, and cut/flow/distance sparsifiers. Recently discovered connections uncover significant potential in synergy between these three algorithmic approaches. Tree decompositions. Show improved tractability of graph isomorphism testing in sparse graph classes. Combine the algorithmic toolbox of parameterized complexity with the theory of minimal triangulations to advance our knowledge in structural graph theory, both pure (focused on the Erdos-Hajnal conjecture) and algorithmic (focused on the tractability of Maximum Independent Set and 3-Coloring).

1 228 250 €

Start date: 2017-03-01, End date: 2022-02-28

Insulin secretion and insulin action are critical for normal glucose homeostasis. Defects in both of these processes lead to type 2 diabetes (T2D). Unravelling the mechanisms that lead to T2D is fundamental in the search of new molecular drugs to prevent and control this disease. Organ-on-a-chip devices offer new approaches for T2D disease modelling and drug discovery by providing biologically relevant models of tissues and organs in vitro integrated with biosensors. As such, organ-on-a-chip devices have the potential to revolutionize the pharmaceutical industry by enabling reliable and high predictive in vitro testing of drug candidates. The capability to miniaturize biosensor systems and advanced tissue fabrication procedures have enabled researchers to create multiple tissues on a chip with a high degree of control over experimental variables for high-content screening applications. The goal of this project is the fabrication of a biomimetic multi organ-on-a-chip integrated device composed of skeletal muscle and pancreatic islets for studying metabolism glucose diseases and for drug screening applications. Engineered muscle tissues and pancreatic islets are integrated with the technology to detect the glucose consumption, contraction induced glucose metabolism, insulin secretion and protein biomarker secretion of cells. We aim to design a novel therapeutic tool to test drugs with a multi organ-on-a-chip device. Such finding would improve drug test approaches and would provide for new therapies to prevent the loss of beta cell mass associated with T2D and defects in the glucose uptake in skeletal muscle.

1 499 554 €

Start date: 2017-01-01, End date: 2021-12-31

"Coordination Chemistry and Molecular Magnetism are in an ideal position for the rational design of Single-Molecule Magnets which can be used as molecular spin qubits, the irreducible components of any quantum technology. Indeed, a major advantage of molecular spin qubits over other candidates stems from the power of Chemistry for a tailored and inexpensive synthesis of systems for their experimental study. In particular, the so-called Lanthanoid-based Single-Ion Magnets, which are currently the hottest topic in Molecular Magnetism, have the potential to be chemically designed, tuning both their single-molecule properties and their crystalline environment. This will allow the independent study of the different quantum processes that cause the loss of quantum information, collectively known as decoherence. The study of quantum decoherence processes in the solid state is necessary both to lay the foundations for next-generation quantum technologies and to answer some fundamental questions. The goals of this project are: #1 To unravel the mechanistic details of decoherence in molecular spin qubits based on mononuclear lanthanoid complexes. This study will stablish criteria for the rational design of single spin qubits. #2 To extend this study to the coupling between two or more spin qubits. This will allow us to explore the use of polynuclear lanthanoid complexes to achieve quantum gates or simple algorithms. #3 To extrapolate to infinite systems formed by the complex organization of spin qubits. This exploratory goal will permit us to move beyond zero-dimensional systems, thus facilitating the advance towards complex quantum functions. "

1 827 375 €

Start date: 2015-08-01, End date: 2020-07-31

This project aims at making a breakthrough contribution in the broad area of Control of Partial Differential Equations (PDE) and their numerical approximation methods by addressing key unsolved issues appearing systematically in real-life applications. To this end, we pursue three objectives: 1) to contribute with new key theoretical methods and results, 2) to develop the corresponding numerical tools, and 3) to build up new computational software, the DYCON-COMP computational platform, thereby bridging the gap to applications. The field of PDEs, together with numerical approximation and simulation methods and control theory, have evolved significantly in the last decades in a cross-fertilization process, to address the challenging demands of industrial and cross-disciplinary applications such as, for instance, the management of natural resources, meteorology, aeronautics, oil industry, biomedicine, human and animal collective behaviour, etc. Despite these efforts, some of the key issues still remain unsolved, either because of a lack of analytical understanding, of the absence of efficient numerical solvers, or of a combination of both. This project identifies and focuses on six key topics that play a central role in most of the processes arising in applications, but which are still poorly understood: control of parameter dependent problems; long time horizon control; control under constraints; inverse design of time-irreversible models; memory models and hybrid PDE/ODE models, and finite versus infinite-dimensional dynamical systems. These topics cannot be handled by superposing the state of the art in the various disciplines, due to the unexpected interactive phenomena that may emerge, for instance, in the fine numerical approximation of control problems. The coordinated and focused effort that we aim at developing is timely and much needed in order to solve these issues and bridge the gap from modelling to control, computer simulations and applications.

2 065 125 €

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

Control of microscale matter through selective manipulation of colloidal building blocks will unveil novel scientific and technological avenues expanding current frontiers of knowledge in Soft Matter systems. I propose to combine state-of-the-art micromanipulation techniques based on magnetic and optical forces to transport, probe and assemble colloidal matter with single particle resolution in real time/space and otherwise unreachable capabilities. In the first part of the project, I will use paramagnetic colloids as externally controllable magnetic inclusions to probe the structural and rheological properties of optically assembled colloid crystals and glasses. In the second part, I will realize a new class of anisotropy patchy magnetic colloids, characterized by selective, directional and reversible interactions and employ these remotely addressable units to realize gels and frustrated crystals (static case), active jamming and synchronization via hydrodynamic coupling (dynamic case). DynaMO project will power a basic experimental research embracing a variety of apparently different systems ranging from deterministic ratchets, viscoelastic crystals, glasses, patchy colloidal gels, frustrated crystals, active jamming, and hydrodynamic waves. The ERC grant will allow me to establish a young and dynamic research group of interdisciplinary nature focused on these issues and aimed at performing high quality research and training/inspiring talented researchers in innovative and challenging scientific projects.

1 309 320 €

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

Organic electronic devices, such as organic field-effect transistors (OFETs), are raising an increasing interest for their potential in large area coverage and low cost applications. Also, the use of single molecules as active electronic components offers great prospects for the miniaturization of devices and for their compatibility with biological systems. Within this framework, e-GAMES goals are: 1) Molecular logic gates for the storage and transmission of magnetic and optical information and for locally controlling surface wettability. The two huge limitations that hinder the application of molecules in logic gates are: i) Fabrication of devices on a solid support, ii) Concatenation of logic gates. I plan to overcome these drawbacks employing self-assembled monolayers of bistable electroactive molecules. These systems could also be used in the fabrication of surfaces with tunable wettability properties, of high interest in microfluidics and for biosensors. 2) Ambipolar organic field-effect transistors with donor-acceptor systems and their exploitation in light, temperature or pressure sensors, and/or memory devices. Intramolecular electron transfer in organic semiconductors designed for preparing ambipolar OFETs will be explored for the first time. This phenomenon will be exploited for the fabrication of light, pressure or temperature stimuli-responsive OFETs bringing innovative perspectives to the field. 3) Organic/inorganic hybrid devices based on field-effect transistors for sensing environmentally hazardous carbon nanoparticles. Carbon-based nanoparticles are being increasingly used in many applications despite their recognized toxicity. The grounds for the development of a new generation of nanotechnological low-cost and selective sensors based on transistors functionalized with organic sensing molecular monolayers for the detection of such materials will be developed, contributing towards the improvement of citizens’ safety and environmental preservation.

1 499 675 €

Start date: 2012-12-01, End date: 2018-09-30

To build interfaces between the electronic domain and the human nervous system is one of the most demanding challenges of nowadays engineering. Fascinating developments have already been performed such as visual cortical implants for the blind and cochlear implants for the deaf. Yet implantation of most electrical stimulation systems requires complex surgeries which hamper their use for the development of so-called electroceuticals. More importantly, previously developed systems based on central stimulation units are not adequate for applications in which a large number of sites must be individually stimulated over large and mobile body parts, thus hindering neuroprosthetic solutions for patients suffering paralysis due to spinal cord injury or other neurological disorders. A solution to these challenges could consist in developing addressable single-channel wireless microstimulators which could be implanted with simple procedures such as injection. And, indeed, such solution was proposed and tried in the past. However, previous attempts did not achieve satisfactory success because the developed implants were stiff and too large. Further miniaturization was prevented because of the use of inductive coupling and batteries as energy sources. Here I propose to explore an innovative method for performing electrical stimulation in which the implanted microstimulators will operate as rectifiers of bursts of innocuous high frequency current supplied through skin electrodes shaped as garments. This approach has the potential to reduce the diameter of the implants to one-fifth the diameter of current microstimulators and, more significantly, to allow that most of the implants’ volume consists of materials whose density and flexibility match those of neighbouring living tissues for minimizing invasiveness. In fact, implants based on the proposed method will look like short pieces of flexible thread.

1 999 813 €

Start date: 2017-05-01, End date: 2022-04-30

Lanthanide metals are ubiquitous nowadays, finding use in luminescent materials, optical amplifiers and waveguides, lasers, photovoltaics, rechargeable batteries, catalysts, alloys, magnets, bio-probes, and therapeutic agents. In addition, they bear potential for high temperature superconductivity, magnetic refrigeration, molecular magnetic storage, spintronics and quantum information. Surprisingly, the study of lanthanide physico-chemical properties on surfaces is at its infancy, particularly at the nanoscale. To address this extraordinary scientific opportunity, I will research the foundations and prospects of lanthanide elements to design functional nanoarchitectures on surfaces and I will study their inherent physico-chemical phenomena in distinct coordination environments, targeting novel approaches for sensing, nanomagnetism and electroluminescence. Importantly, our studies will encompass both metal substrates and decoupling surfaces including ultra-thin film insulators and graphene. Nurturing from these studies and in parallel, we will focus on graphene voltage back-gated supports, thus surpassing the seminal knowledge on electrically-inert substrates and enhancing the scope of our research to address the overarching objective of the proposal, i.e., the design of electrically tunable functional lanthanide nanomaterials. The culmination of ELECNANO project will provide strategies for: 1.-Design of functional nanomaterials on high-technological supports. 2.-Development of advanced coordination chemistry on surfaces. 3.-Rationale of the physico-chemical properties of lanthanide-coordination environments. 4.-Engineering of lanthanide nanoarchitectures for ultimate sensing, nanomagnetism and electroluminescence. 5.-In-situ atomistic views of electrically tunable materials and unprecedented fundamental studies of charge-molecule/metal physics on devices.

1 994 713 €

Start date: 2018-09-01, End date: 2023-08-31

More than 250 years after establishing the electrical nature of the lightning flash, we still do not understand how a lightning channel advances. Most of these channels progress not continuously but in a series of sudden jumps and, as they jump, they emit bursts of energetic radiation. Despite increasingly accurate observations, there is no accepted explanation for this stepped progression. This proposal addresses this open question. First, we propose a methodological breakthrough that will allow us to tackle the main bottleneck in the theoretical understanding of lightning: the wide disparity between length-scales within a lightning flash. We plan to apply techniques that have succeeded in other fields, such as multi-model coupled simulations and moving-mesh finite elements methods. Acting as a computational microscope, these techniques will reveal the small-scale electrodynamics around a lightning channel. We will then apply these techniques to elucidate the intertwined problems of lightning channel stepping and thunderstorm-related high-energy emissions. The main hypothesis that we will test is that stepping is due to the formation of low-conductivity spots within the filamentary-discharge region that surrounds a lightning channel. This idea is motivated by observations from high-altitude atmospheric discharges. By resolving the small-scale dynamics, with our numerical method, we will also test hypothesis for high-energy emissions from the lighting channel, which crucially depend on the microscopic distribution of electric fields. This interdisciplinary proposal, straddling between geophysics and gas discharge physics, seeks a double breakthrough: the methodological one of building multi-scale lightning simulations and the hypothesis-driven one of finding out the reason for stepping. If it succeeds, it will achieve a leap forward in our knowledge of lightning, undoubtedly one of the greatest spectacles in our planet's repertoire.

1 960 826 €

Start date: 2016-06-01, End date: 2021-05-31

With eNANO I will introduce a disruptive approach toward controlling and understanding the dynamical response of material nanostructures, expanding nanoscience and nanotechnology in unprecedented directions. Specifically, I intend to inaugurate the field of free-electron nanoelectronics, whereby electrons evolving in the vacuum regions defined by nanostructures will be generated, guided, and sampled at the nanoscale, thus acting as probes to excite, detect, image, and spectrally resolve polaritonic modes (e.g., plasmons, optical phonons, and excitons) with atomic precision over sub-femtosecond timescales. I will exploit the wave nature of electrons, extending the principles of nanophotonics from photons to electrons, therefore gaining in spatial resolution (by relying on the large reduction in wavelength) and strength of interaction (mediated by Coulomb fields, which in contrast to photons render nonlinear interactions ubiquitous when using free electrons). I will develop the theoretical and computational tools required to investigate this unexplored scenario, covering a wide range of free-electron energies, their elastic interactions with the material atomic structures, and their inelastic coupling to nanoscale dynamical excitations. Equipped with these techniques, I will further address four challenges of major scientific interest: (i) the fundamental limits to the space, time, and energy resolutions achievable with free electrons; (ii) the foundations and feasibility of pump-probe spectral microscopy at the single-electron level; (iii) the exploration of quantum-optics phenomena by means of free electrons; and (iv) the unique perspectives and potential offered by vertically confined free-electrons in 2D crystals. I will face these research frontiers by combining knowledge from different areas through a multidisciplinary theory group, in close collaboration with leading experimentalists, pursuing a radically new approach to study and control the nanoworld.

1 899 788 €

Start date: 2018-12-01, End date: 2023-11-30

Nanostructured dielectric and metallic photonic architectures can concentrate the electric field through resonances, increase the light optical path by strong diffraction and exhibit many other interesting optical phenomena that cannot be achieved with traditional lenses and mirrors. The use of these structures within actual devices will be most beneficial for enhanced light absorption in thin solar cells, photodetectors and to develop new sensors and light emitters. However, emerging optoelectronic devices rely on large area and low cost fabrication routes such as roll to roll or solution processing, to cut manufacturing costs and increase the production throughput. If the exciting properties exhibited by the photonic structures are to be implemented in these devices, then they too have to be processed in a similar fashion as the devices they intend to improve. This research plan is aimed to develop photonic electrodes that will enhance light matter interaction based on wave optics phenomena while being fabricated with techniques fully compatible with today’s mass production approaches, allowing seamless integration of wave optics components in current devices. The objectives of this proposal are: 1) to investigate the fundaments of the enhanced light-matter interaction observed in devices that use wave optics elements. 2) To develop fabrication routes for large area and low cost photonic and plasmonic structures using techniques similar to those employed in industry, so they could be easily incorporated in technologies such as roll to roll. 3) To fabricate prototype solar cells, photodetectors and sensors on top of photonic electrodes, demonstrating improved performance without deterioration of other figures of merit in the device. The results of the research plan will advance the state of the art in nanophotonics structures, providing the path towards a new generation of large-scale and low-cost photonic architectures.

1 500 000 €

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

Robust disruptive materials will be essential for the “wireless everywhere” to become a reality. This is because we need a paradigm shift in mobile communications to meet the challenges of such an ambitious evolution. In particular, some of these emerging technologies will trigger the replacement of the magnetic microwave ferrites in use today. This will namely occur with the forecasted shift to high frequency mm-wave and THz bands and in novel antennas that can simultaneously transmit and receive data on the same frequency. In both cases, operating with state-of-the-art ferrites would require large external magnetic fields incompatible with future needs of smaller, power-efficient devices. To overcome these issues, we target ferrites featuring the so far unmet combinations of low magnetic loss and large values of magnetocrystalline anisotropy, magnetostriction or magnetoelectric coupling. The objective of FeMiT is developing a novel family of orthorhombic ferrites based on ε-Fe2O3, a room-temperature multiferroic with large magnetocrystalline anisotropy. Those properties and unique structural features make it an excellent platform to develop the sought-after functional materials for future compact and energy-efficient wireless devices. In the first part of FeMiT we will explore the limits and diversity of this new family by exploiting rational chemical substitutions, high pressures and strain engineering. Soft chemistry and physical deposition methods will be both considered at this stage. The second part of FeMiT entails a characterization of functional properties and selection of the best candidates to be integrated in composite and epitaxial films suitable for application. The expected outcomes will provide proof-of-concept self-biased or voltage-controlled signal-processing devices with low losses in the mm-wave to THz bands, with high potential impact in the development of future wireless technologies.

1 989 967 €

Start date: 2019-05-01, End date: 2024-04-30

Sensorineural impairment, representing the majority of the profound deafness, can be restored using cochlear implants (CIs), which electrically stimulates the auditory nerve to repair hearing in people with severe-to-profound hearing loss. A conventional CI consists of an external microphone, a sound processor, a battery, an RF transceiver pair, and a cochlear electrode. The major drawback of conventional CIs is that, they replace the entire natural hearing mechanism with electronic hearing, even though most parts of the middle ear are operational. Also, the power hungry units such as microphone and RF transceiver cause limitations in continuous access to sound due to battery problems. Besides, damage risk of external components especially if exposed to water and aesthetic concerns are other critical problems. Limited volume of the middle ear is the main obstacle for developing fully implantable CIs. FLAMENCO proposes a fully implantable, autonomous, and low-power CI, exploiting the functional parts of the middle ear and mimicking the hair cells via a set of piezoelectric cantilevers to cover the daily acoustic band. FLAMENCO has a groundbreaking nature as it revolutionizes the operation principle of CIs. The implant has five main units: i) piezoelectric transducers for sound detection and energy harvesting, ii) electronics for signal processing and battery charging, iii) an RF coil for tuning the electronics to allow customization, iv) rechargeable battery, and v) cochlear electrode for neural stimulation. The utilization of internal energy harvesting together with the elimination of continuous RF transmission, microphone, and front-end filters makes this system a perfect candidate for next generation autonomous CIs. In this project, a multi-frequency self-powered implant for in vivo operation will be implemented, and the feasibility will be proven through animal tests.

1 993 750 €

Start date: 2016-07-01, End date: 2021-06-30

Piezoelectric materials transduce electrical voltage into mechanical strain and vice-versa, which makes them ubiquitous in sensors, actuators, and energy harvesting systems. Flexoelectricity is a related but different effect, by which electric polarization is coupled to strain gradients, i.e. it requires inhomogeneous deformation. Flexoelectricity is present in a much wider variety of materials, including non-polar dielectrics and polymers, but is only significant at small length-scales. Flexoelectricity has demonstrated its potential in information technologies, by flexoelectric-mediated mechanical writing in ferroelectric thin films at the nanoscale, or in flexoelectric electromechanical transducers. It has been suggested that flexoelectricity could enable piezoelectric composites made out of non-piezoelectric components, including soft materials, which could be used in biocompatible and self-powered small-scale devices. Flexoelectricity is a nascent field with major open questions. Furthermore, experimental devices and material designs are limited by what we can understand and analyze, and unfortunately, we lack general engineering analysis tools for flexoelectricity. As a result, current flexoelectric devices are only minimal variations of configurations conceived within the uniform-strain mindset of piezoelectricity. Our main objective in this proposal is to develop an advanced computational infrastructure to quantify flexoelectricity in solids, focusing on continuum models but also exploring multiscale aspects. We plan to use it to (1) analyze accurately flexoelectricity accounting for general geometries, electrode configurations, and material behavior, (2) identify new physics emerging flexoelectricity, and (3) propose, build and test a new generation of thin-film devices, composites and metamaterials for electromechanical transduction, genuinely designed to exploit small-scale flexoelectricity and make it available at macroscopic scales.

1 500 000 €

Start date: 2016-09-01, End date: 2021-08-31

Shannon's Information Theory establishes the fundamental limits of information processing systems. A concept that is hidden in the mathematical proofs most of the Information Theory literature, is that in order to achieve the fundamental limits we need sequences of infinite duration. Practical information processing systems have strict limitations in terms of length, induced by system constraints on delay and complexity. The vast majority of the Information Theory literature ignores these constraints and theoretical studies that provide a finite-length treatment of information processing are hence urgently needed. When finite-lengths are employed, asymptotic techniques (laws of large numbers, large deviations) cannot be invoked and new techniques must be sought. A fundamental understanding of the impact of finite-lengths is crucial to harvesting the potential gains in practice. This project is aimed at contributing towards the ambitious goal of providing a unified framework for the study of finite-length Information Theory. The approach in this project will be based on information-spectrum combined with tight bounding techniques. A comprehensive study of finite-length information theory will represent a major step forward in Information Theory, with the potential to provide new tools and techniques to solve open problems in multiple disciplines. This unconventional and challenging treatment of Information Theory will advance the area and will contribute to disciplines where Information Theory is relevant. Therefore, the results of this project will be of benefit to areas such as communication theory, probability theory, statistics, physics, computer science, mathematics, economics, bioinformatics and computational neuroscience.

1 303 606 €

Start date: 2011-08-01, End date: 2017-07-31

Inspired by mimicking the characteristics of terpenoid cyclase enzymes, the goal of this proposal is to design new types of catalysts containing electrophilic transition metal centers that could simultaneously fold and activate polyunsaturated substrates promoting non-inherent cyclization modes. Our goal is unprecedented, although it is rooted on fundamental organometallic chemistry, in particular, on the known activation of polyunsaturated substrates by highly electrophilic transition metals. These unconventional cyclizations cascades challenge the paradigm that the intrinsic reactivity of the substrate is the relevant factor in carbocation-initiated processes and would provide access to large carbocyclic skeletons such as those present in taxol and ophiobolin enantioselectively in a single step under catalytic conditions. Although the initial work will be carried out with gold catalysts, a major goal of this research is to develop other general-purpose efficient chiral electrophilic catalysts based on zinc. To attain our goal, we will study more simple catalysts to delineate the factors that control the folding of polyenynes and polyenes. Thus, we will prepare new series of C2-chiral catalysts in which the stereogenic elements are close to the reaction site. Related C2-chiral systems will be generated by supramolecular hydrogen-bond pairing. A similar chiral arrangement could also be achieved by an intramolecular chiral anion translocation from the metal to a distant hydrogen-bond donor site. In addition, we will explore larger systems based on structurally well-defined metallic clusters to generate highly electrophilic chiral reactive sites. The folding and activation of polyunsaturated substrates will be studied first with a series of catalytic prototypes based on digold or heterobimetallic complexes with N-heterocyclic carbenes, diphosphines, mixed ligands of these types, as well as resorcinarene-phosphonite cavitant ligands.

2 500 000 €

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

Following promising early breakthroughs, progress in the development of high-performance multicomponent organic energy materials has stalled due to a bottleneck in device optimization. FOREMAT will develop a breakthrough technology to overcome this bottleneck by shifting from fabrication-intense to measurement-intense assessment methods, enabling rapid multi-parameter optimization of novel systems. Our goal is to deliver organic material systems with a step-change in performance, bringing them close to the expected market turn point, including panchromatic organic photovoltaics with ca 15% efficiencies and thermoelectric devices that could revolutionize waste heat recovery by their flexibility, lightweight and high power factor. The development of multicomponent materials promises to dramatically improve the cost, efficiency and stability of organic energy devices. For example, they allow to engineer broad-band absorption in photovoltaics matched to the sun’s spectrum, or to create composites that conduct electricity like metals while thermally insulate like cotton yielding thermoelectric devices beyond the state-of-the-art. Despite these advantages, the long time required to evaluate promising organic multinaries currently limits their development. We will circumvent this problem by developing a high-throughput technology that will allow evaluation times up to two orders of magnitude faster saving, at the same time, around 90% of material. To meet these ambitious goals, we will advance novel fabrication tools and create samples bearing a high density of information arising from 2-dimensional gradual variations in relevant parameters that will be sequentially tested with increasing resolution in order to determine optimum values with high precision. This quantitative step will enable a disruptive qualitative change as in depth multidimensional studies will lead to design rationales for multicomponent systems with step-change performance in energy applications.

2 423 894 €

Start date: 2015-10-01, End date: 2020-09-30

FunCBonds offers a novel perspective to relevant scientific synthetic problems via a synergistic dual catalytic activation of carbon-carbon bonds and CO2, a topic of major interest not only for basic research science but also from an industrial and social point of view. As the use of alternative feedstocks such as CO2 is still one of the most fundamental gaps in catalytic technologies, I believe that FunCBonds project provides an alternative vision and strategy for the preparation of pharmaceutically relevant carboxylic acid derivatives using inexpensive raw materials in a catalytic fashion. In contrast to the well-established methodology based on carbon-carbon bond formation using either ruthenium or palladium catalysts (recently awarded with the Nobel Prize in Chemistry 2005 and 2010, respectively), the main challenge of this project is the discovery of a non-expensive and non-toxic catalyst that allows the cleavage of C-C bonds and CO2 following the principles of the atom economy. FunCBonds will meet these challenges by offering an innovative approach that will unlock the potential of a combined functionalization of inert C-C and C-O bonds. The project will provide the necessary understanding behind the factors influencing both C-C bond cleavage and the subsequent CO2 insertion event, thus opening up new horizons in preparative organic chemistry as well as offering solutions to a social and industrial problem such as the use of CO2 as chemical feedstock.

1 423 800 €

Start date: 2011-12-01, End date: 2016-11-30

Low-temperature studies of transition metal doped III-V and II-VI compounds carried out over the last decade have demonstrated the unprecedented opportunity offered by these systems for exploring physical phenomena and device concepts in previously unavailable combinations of quantum structures and ferromagnetism in semiconductors. The work proposed here aims at combining and at advancing epitaxial methods, spatially-resolved nano-characterisation tools, and theoretical modelling in order to understand the intricate interplay between carrier localisation, magnetism, and magnetic ion distribution in DMS, and to develop functional DMS structures. To accomplish these goals we will take advantage of two recent breakthroughs in materials engineering. First, the attainment of high-k oxides makes now possible to generate interfacial hole densities up to 10^21 cm-3. We will exploit gated thin layers of DMS phosphides, nitrides, and oxides, in which hole delocalization and thus high temperature ferromagnetism is to be expected under gate bias. Furthermore we will systematically investigate how the Curie temperature of (Ga,Mn)As can be risen above 180 K. Second, the progress in nanoscale chemical analysis has allowed demonstrating that high temperature ferromagnetism of semiconductors results from nanoscale crystallographic or chemical phase separations into regions containing a large concentration of the magnetic constituent. We will elaborate experimentally and theoretically epitaxy and co-doping protocols for controlling the self-organised growth of magnetic nanostructures, utilizing broadly synchrotron radiation and nanoscopic characterisation tools. The established methods will allow us to obtain on demand either magnetic nano-dots or magnetic nano-columns embedded in a semiconductor host, for which we predict, and will demonstrate, ground-breaking functionalities. We will also assess reports on the possibility of high-temperature ferromagnetism without magnetic ions.

2 440 000 €

Start date: 2009-01-01, End date: 2013-12-31

Interactions in a many body quantum system are encoded in a Hamiltonian, where the physical intuition that particles can only interact with those which are closeby is formally imposed as a local structure in the Hamiltonian, and homogeneity in space is imposed by a translational invariant structure on a given regular lattice in one, two or three dimensions. The first main aim of this proposal is to characterize the existence of a uniform (with the system size) lower bound on the gap between the two lowest eigenvalues of a given local translational invariant Hamiltonian. There are many reasons which motivate this study, coming from different fields, and hence many potential applications. We will concentrate here on those coming from quantum information theory and from condensed matter physics and mainly, as the second main aim of this proposal, on classifying the different possible quantum phases arising in this type of models.

1 462 750 €

Start date: 2015-09-01, End date: 2021-08-31

There are many high-profile problems in PDEs that ultimately boil down to assertions of a strongly geometric or topological nature. One feature that makes these problems both very difficult and extremely appealing is that there is not a standard set of techniques that one can routinely resort to in order to attack them. Indeed, the very nature of these questions makes them strongly interdisciplinary, so successful approaches require finely tailored combinations of ideas and techniques coming from different branches of mathematics (analysis, geometry and topology), often interspersed with some physical intuition. In this project I aim at going significantly beyond the state of the art in a wide class of geometric questions in PDEs, with an emphasis on problems in fluid mechanics and encompassing long-standing questions that can be traced back to leading analysts and geometers such as Arnold, De Giorgi and Yau. The project is divided in three interrelated blocks, respectively devoted to the study of Beltrami fields in steady incompressible fluids, to geometric evolution problems and to global approximation theorems. Key to the proposal is a versatile new approach to a number of geometric problems in PDEs that I have pioneered and applied in several seemingly unrelated contexts. The power of this technique is laid bare by my recent proofs of a well-known conjecture on knotted vortex lines in topological fluid mechanics that was popularized by Arnold and Moffatt in the 1960s and of a long-standing conjecture on the existence of thin vortex tubes in steady solutions to the Euler equation that dates back to Lord Kelvin in 1875. The award of a Starting Grant will enable me to establish a top-level research group on these topics.

1 256 375 €

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

The project will strike for conquering frontier results in three capital areas in partial differential equations and mathematical analysis: Elliptic equations and systems, fluid dynamics and inverse problems. I propose to tackle the central problems in these areas with a new perspective based on the theory of differential inclusions. A thorough study of oscillating div-curl couples in this framework will lead us to the long expected higher dimensional version of the Tartar conjecture. The corresponding analysis of differential inclusions for gradient fields will lead to new results respect to the existence, uniqueness and regularity theory on the so far intractable theory of higher dimensional Beltrami systems. Next we will concentrate in weak solutions to the classical non linear equations governing fluid dynamics. A reformulation of these equations as differential inclusions enables a much more rich theory of weak solutions than the classical one. With this new tool at hand,we will close several long standing questions about existence, uniqueness and contour dynamics. The third part of the project is devoted to inverse problems in p.d.e. The most famous inverse problem is Calderón conductivity problem which asks whether the Dirichlet to Neumann map of an elliptic equation determines the coefficients. The problem is still open in three or more dimensions but a new formulation as a differential inclusion will allow us to close the 1980 Calderón conjecture by constructing new invisible materials. In dimension n=2 the recent approach based on quasiconformal theory will lead to the first regularization scheme valid for discontinuous conductivities and first results for non linear equations. For the stationary Schrödinger equation I propose to exploit a fascinating connection with the convergence to initial data of the non elliptic time dependent Schrödinger equation.

1 121 400 €

Start date: 2012-10-01, End date: 2018-09-30

The development of alternative greener synthetic methods to transform renewable feedstocks into elaborated chemical structures mediated by solar light is a prerequisite for a future sustainable society. In this regard, this project entails the use of visible light as driving force and water as a source of hydrides for the synthesis of high-value chemicals. The project merges photoredox catalysis with 1st row transition coordination complexes catalysis to open a new avenue for greener selective catalytic reduction processes for organic substrates. The ground-breaking nature of the project is: A) Develop light-driven region- and/or enantioselective catalytic reductions using well-defined cobalt coordination complexes with aminopyridine ligands, initially developed for water reduction. Sterics, electronics and supramolecular interactions (apolar cavities and chiral pockets) will be studied to proper control of the selectivity in the reduction of i) C=E and C=C bonds and ii) in the C-C inter- and intramolecular reductive homo- or heterocouplings. B) Fundamental understanding of the light-driven cobalt catalysed reductions characterizing intermediates that are involved in the reactivity, kinetics and labelling studies as well as performing computational modelling of reaction mechanisms. The basic understanding of operative mechanisms will expedite a new methodology for electrophile-electrophile umpolung couplings. C) Enhance catalytic performance of the light-driven cobalt catalysed reductions by self-assembling of catalyst-photosensitizer into carbon based pi-conjugated materials through noncovalent supramolecular interactions. Likewise, it will allow electrode immobilization for electrocatalysed reductions using water as a source of protons and electrons. As a proof of concept, cobalt catalysts based on aminopyridine ligands have been shown highly active in the light-driven reduction of ketones and aldehydes to alcohols, using water as the source of hydrogen atom.

1 999 063 €

Start date: 2015-07-01, End date: 2020-06-30