Project acronym 2D4QT
Project 2D Materials for Quantum Technology
Researcher (PI) Christoph STAMPFER
Host Institution (HI) RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Country Germany
Call Details Consolidator Grant (CoG), PE3, ERC-2018-COG
Summary Since its discovery, graphene has been indicated as a promising platform for quantum technologies (QT). The number of theoretical proposal dedicated to this vision has grown steadily, exploring a wide range of directions, ranging from spin and valley qubits, to topologically-protected states. The experimental confirmation of these ideas lagged so far significantly behind, mostly because of material quality problems. The quality of graphene-based devices has however improved dramatically in the past five years, thanks to the advent of the so-called van der Waals (vdW) heteostructures - artificial solids formed by mechanically stacking layers of different two dimensional (2D) materials, such as graphene, hexagonal boron nitride and transition metal dichalcogenides. These new advances open now finally the door to put several of those theoretical proposals to test.
The goal of this project is to assess experimentally the potential of graphene-based heterostructures for QT applications. Specifically, I will push the development of an advanced technological platform for vdW heterostructures, which will allow to give quantitative answers to the following open questions: i) what are the relaxation and coherence times of spin and valley qubits in isotopically purified bilayer graphene (BLG); ii) what is the efficiency of a Cooper-pair splitter based on BLG; and iii) what are the characteristic energy scales of topologically protected quantum states engineered in graphene-based heterostructures.
At the end of this project, I aim at being in the position of saying whether graphene is the horse-worth-betting-on predicted by theory, or whether it still hides surprises in terms of fundamental physics. The technological advancements developed in this project for integrating nanostructured layers into vdW heterostructures will reach even beyond this goal, opening the door to new research directions and possible applications.
Summary
Since its discovery, graphene has been indicated as a promising platform for quantum technologies (QT). The number of theoretical proposal dedicated to this vision has grown steadily, exploring a wide range of directions, ranging from spin and valley qubits, to topologically-protected states. The experimental confirmation of these ideas lagged so far significantly behind, mostly because of material quality problems. The quality of graphene-based devices has however improved dramatically in the past five years, thanks to the advent of the so-called van der Waals (vdW) heteostructures - artificial solids formed by mechanically stacking layers of different two dimensional (2D) materials, such as graphene, hexagonal boron nitride and transition metal dichalcogenides. These new advances open now finally the door to put several of those theoretical proposals to test.
The goal of this project is to assess experimentally the potential of graphene-based heterostructures for QT applications. Specifically, I will push the development of an advanced technological platform for vdW heterostructures, which will allow to give quantitative answers to the following open questions: i) what are the relaxation and coherence times of spin and valley qubits in isotopically purified bilayer graphene (BLG); ii) what is the efficiency of a Cooper-pair splitter based on BLG; and iii) what are the characteristic energy scales of topologically protected quantum states engineered in graphene-based heterostructures.
At the end of this project, I aim at being in the position of saying whether graphene is the horse-worth-betting-on predicted by theory, or whether it still hides surprises in terms of fundamental physics. The technological advancements developed in this project for integrating nanostructured layers into vdW heterostructures will reach even beyond this goal, opening the door to new research directions and possible applications.
Max ERC Funding
1 806 250 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym 3DAddChip
Project Additive manufacturing of 2D nanomaterials for on-chip technologies
Researcher (PI) Cecilia Mattevi
Host Institution (HI) IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Country United Kingdom
Call Details Consolidator Grant (CoG), PE8, ERC-2018-COG
Summary The realization of “the internet of things” is inevitably constrained at the level of miniaturization that can be achieved in the electronic devices. A variety of technologies are now going through a process of miniaturization from micro-electromechanical systems (MEMS) to biomedical sensors, and actuators. The ultimate goal is to combine several components in an individual multifunctional platform, realizing on-chip technology. Devices have to be constrained to small footprints and exhibit high performance. Thus, the miniaturization process requires the introduction of new manufacturing processes to fabricate devices in the 3D space over small areas. 3D printing via robocasting is emerging as a new manufacturing technique, which allows shaping virtually any materials from polymers to ceramic and metals into complex architectures.
The goal of this research is to establish a 3D printing paradigm to produce miniaturized complex shape devices with diversified functions for on-chip technologies adaptable to “smart environment” such as flexible substrates, smart textiles and biomedical sensors. The elementary building blocks of the devices will be two-dimensional nanomaterials, which present unique optical, electrical, chemical and mechanical properties. The synergistic combination of the intrinsic characteristics of the 2D nanomaterials and the specific 3D architecture will enable advanced performance of the 3D printed objects. This research programme will demonstrate 3D miniaturized energy storage and energy conversion units fabricated with inks produced using a pilot plant. These units are essential components of any on-chip platform as they ensure energy autonomy via self-powering. Ultimately, this research will initiate new technologies based on miniaturized 3D devices.
Summary
The realization of “the internet of things” is inevitably constrained at the level of miniaturization that can be achieved in the electronic devices. A variety of technologies are now going through a process of miniaturization from micro-electromechanical systems (MEMS) to biomedical sensors, and actuators. The ultimate goal is to combine several components in an individual multifunctional platform, realizing on-chip technology. Devices have to be constrained to small footprints and exhibit high performance. Thus, the miniaturization process requires the introduction of new manufacturing processes to fabricate devices in the 3D space over small areas. 3D printing via robocasting is emerging as a new manufacturing technique, which allows shaping virtually any materials from polymers to ceramic and metals into complex architectures.
The goal of this research is to establish a 3D printing paradigm to produce miniaturized complex shape devices with diversified functions for on-chip technologies adaptable to “smart environment” such as flexible substrates, smart textiles and biomedical sensors. The elementary building blocks of the devices will be two-dimensional nanomaterials, which present unique optical, electrical, chemical and mechanical properties. The synergistic combination of the intrinsic characteristics of the 2D nanomaterials and the specific 3D architecture will enable advanced performance of the 3D printed objects. This research programme will demonstrate 3D miniaturized energy storage and energy conversion units fabricated with inks produced using a pilot plant. These units are essential components of any on-chip platform as they ensure energy autonomy via self-powering. Ultimately, this research will initiate new technologies based on miniaturized 3D devices.
Max ERC Funding
1 999 968 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym BiocatSusChem
Project Biocatalysis for Sustainable Chemistry – Understanding Oxidation/Reduction of Small Molecules by Redox Metalloenzymes via a Suite of Steady State and Transient Infrared Electrochemical Methods
Researcher (PI) Kylie VINCENT
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Consolidator Grant (CoG), PE4, ERC-2018-COG
Summary Many significant global challenges in catalysis for energy and sustainable chemistry have already been solved in nature. Metalloenzymes within microorganisms catalyse the transformation of carbon dioxide into simple carbon building blocks or fuels, the reduction of dinitrogen to ammonia under ambient conditions and the production and utilisation of dihydrogen. Catalytic sites for these reactions are necessarily based on metals that are abundant in the environment, including iron, nickel and molybdenum. However, attempts to generate biomimetic catalysts have largely failed to reproduce the high activity, stability and selectivity of enzymes. Proton and electron transfer and substrate binding are all finely choreographed, and we do not yet understand how this is achieved. This project develops a suite of new experimental infrared (IR) spectroscopy tools to probe and understand mechanisms of redox metalloenzymes in situ during electrochemically-controlled steady state turnover, and during electron-transfer-triggered transient studies. The ability of IR spectroscopy to report on the nature and strength of chemical bonds makes it ideally suited to follow the activation and transformation of small molecule reactants at metalloenzyme catalytic sites, binding of inhibitors, and protonation of specific sites. By extending to the far-IR, or introducing mid-IR-active probe amino acids, redox and structural changes in biological electron relay chains also become accessible. Taking as models the enzymes nitrogenase, hydrogenase, carbon monoxide dehydrogenase and formate dehydrogenase, the project sets out to establish a unified understanding of central concepts in small molecule activation in biology. It will reveal precise ways in which chemical events are coordinated inside complex multicentre metalloenzymes, propelling a new generation of bio-inspired catalysts and uncovering new chemistry of enzymes.
Summary
Many significant global challenges in catalysis for energy and sustainable chemistry have already been solved in nature. Metalloenzymes within microorganisms catalyse the transformation of carbon dioxide into simple carbon building blocks or fuels, the reduction of dinitrogen to ammonia under ambient conditions and the production and utilisation of dihydrogen. Catalytic sites for these reactions are necessarily based on metals that are abundant in the environment, including iron, nickel and molybdenum. However, attempts to generate biomimetic catalysts have largely failed to reproduce the high activity, stability and selectivity of enzymes. Proton and electron transfer and substrate binding are all finely choreographed, and we do not yet understand how this is achieved. This project develops a suite of new experimental infrared (IR) spectroscopy tools to probe and understand mechanisms of redox metalloenzymes in situ during electrochemically-controlled steady state turnover, and during electron-transfer-triggered transient studies. The ability of IR spectroscopy to report on the nature and strength of chemical bonds makes it ideally suited to follow the activation and transformation of small molecule reactants at metalloenzyme catalytic sites, binding of inhibitors, and protonation of specific sites. By extending to the far-IR, or introducing mid-IR-active probe amino acids, redox and structural changes in biological electron relay chains also become accessible. Taking as models the enzymes nitrogenase, hydrogenase, carbon monoxide dehydrogenase and formate dehydrogenase, the project sets out to establish a unified understanding of central concepts in small molecule activation in biology. It will reveal precise ways in which chemical events are coordinated inside complex multicentre metalloenzymes, propelling a new generation of bio-inspired catalysts and uncovering new chemistry of enzymes.
Max ERC Funding
1 997 286 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym COMBAT
Project Computational Modeling and Design of Lithium-Ion Batteries
Researcher (PI) Timon Rabczuk
Host Institution (HI) BAUHAUS-UNIVERSITAET WEIMAR
Country Germany
Call Details Consolidator Grant (CoG), PE8, ERC-2013-CoG
Summary "Lithium-ion batteries (LIBs) are among the most promising solutions for energy storage. Compared with other resources such as bio-fuel, solar cells, fuel cells or lead acid batteries, rechargeable batteries are more portable and allow for quick energy storage and release. The higher power and energy density make batteries suitable as the energy resource for most portable elect. devices including future vehicles. Among the rechargeable batteries, LIBs have the most potential because of their quick charging rate and high power and energy density. However, ageing of LIBs and the related capacity and power fade is a major concern. For the improvement and future development of batteries, computational modeling and design is an important complementary part to experimental testing which is expensive, time-consuming and sometimes unfeasible.
In this project, the PI proposes to develop, implement, verify and validate a computational multifield and multiscale framework to support the design and optimization of new batteries. The computational framework will support the design and optimization of new anode, separator and cathode materials as well as their structure inside the battery. The measurable outcome of this research will be an open-source software package that can be used to support the design and optimization of LIBs.
Within the computational framework, different (mechanical-thermal-electro-chemical) fields will be linked over multiple scales: from fundamental physics to the design of new battery materials. We will quantify uncertainties in order to provide upper and lower bounds of our predictions and use graph-theory, error-estimation and adaptivity to choose the appropriate model and discretization. The computational framework will be verified and validated by comparison to experiments. Finally, multi-objective optimization over multiple scales will provide a new battery prototype that will be manufactured, tested and compared to the computational predictions."
Summary
"Lithium-ion batteries (LIBs) are among the most promising solutions for energy storage. Compared with other resources such as bio-fuel, solar cells, fuel cells or lead acid batteries, rechargeable batteries are more portable and allow for quick energy storage and release. The higher power and energy density make batteries suitable as the energy resource for most portable elect. devices including future vehicles. Among the rechargeable batteries, LIBs have the most potential because of their quick charging rate and high power and energy density. However, ageing of LIBs and the related capacity and power fade is a major concern. For the improvement and future development of batteries, computational modeling and design is an important complementary part to experimental testing which is expensive, time-consuming and sometimes unfeasible.
In this project, the PI proposes to develop, implement, verify and validate a computational multifield and multiscale framework to support the design and optimization of new batteries. The computational framework will support the design and optimization of new anode, separator and cathode materials as well as their structure inside the battery. The measurable outcome of this research will be an open-source software package that can be used to support the design and optimization of LIBs.
Within the computational framework, different (mechanical-thermal-electro-chemical) fields will be linked over multiple scales: from fundamental physics to the design of new battery materials. We will quantify uncertainties in order to provide upper and lower bounds of our predictions and use graph-theory, error-estimation and adaptivity to choose the appropriate model and discretization. The computational framework will be verified and validated by comparison to experiments. Finally, multi-objective optimization over multiple scales will provide a new battery prototype that will be manufactured, tested and compared to the computational predictions."
Max ERC Funding
1 975 071 €
Duration
Start date: 2014-06-01, End date: 2019-05-31
Project acronym COMOTION
Project Controlling the Motion of Complex Molecules and Particles
Researcher (PI) Jochen Kuepper
Host Institution (HI) STIFTUNG DEUTSCHES ELEKTRONEN-SYNCHROTRON DESY
Country Germany
Call Details Consolidator Grant (CoG), PE4, ERC-2013-CoG
Summary "The main objective of COMOTION is to enable novel experiments for the investigation of the intrinsic properties of large molecules, including biological samples like proteins, viruses, and small cells
-X-ray free-electron lasers have enabled the observation of near-atomic-resolution structures in diffraction- before-destruction experiments, for instance, of isolated mimiviruses and of proteins from microscopic crystals. The goal to record molecular movies with spatial and temporal atomic-resolution (femtoseconds and picometers) of individual molecules is near.
-The investigation of ultrafast, sub-femtosecond electron dynamics in small molecules is providing first results. Its extension to large molecules promises the unraveling of charge migration and energy transport in complex (bio)molecules.
-Matter-wave experiments of large molecules, with currently up to some hundred atoms, are testing the limits of quantum mechanics, particle-wave duality, and coherence. These metrology experiments also allow the precise measurement of molecular properties.
The principal obstacle for these and similar experiments in molecular sciences is the controlled production of samples of identical molecules in the gas phase. We will develop novel concepts and technologies for the manipulation of complex molecules, ranging from amino acids to proteins, viruses, nano-objects, and small cells: We will implement new methods to inject complex molecules into vacuum, to rapidly cool them, and to manipulate the motion of these cold gas-phase samples using combinations of external electric and electromagnetic fields. These external-field handles enable the spatial separation of molecules according to size, shape, and isomer.
The generated controlled samples are ideally suited for the envisioned precision experiments. We will exploit them to record atomic-resolution molecular movies using the European XFEL, as well as to investigate the limits of quantum mechanics using matter-wave interferometry."
Summary
"The main objective of COMOTION is to enable novel experiments for the investigation of the intrinsic properties of large molecules, including biological samples like proteins, viruses, and small cells
-X-ray free-electron lasers have enabled the observation of near-atomic-resolution structures in diffraction- before-destruction experiments, for instance, of isolated mimiviruses and of proteins from microscopic crystals. The goal to record molecular movies with spatial and temporal atomic-resolution (femtoseconds and picometers) of individual molecules is near.
-The investigation of ultrafast, sub-femtosecond electron dynamics in small molecules is providing first results. Its extension to large molecules promises the unraveling of charge migration and energy transport in complex (bio)molecules.
-Matter-wave experiments of large molecules, with currently up to some hundred atoms, are testing the limits of quantum mechanics, particle-wave duality, and coherence. These metrology experiments also allow the precise measurement of molecular properties.
The principal obstacle for these and similar experiments in molecular sciences is the controlled production of samples of identical molecules in the gas phase. We will develop novel concepts and technologies for the manipulation of complex molecules, ranging from amino acids to proteins, viruses, nano-objects, and small cells: We will implement new methods to inject complex molecules into vacuum, to rapidly cool them, and to manipulate the motion of these cold gas-phase samples using combinations of external electric and electromagnetic fields. These external-field handles enable the spatial separation of molecules according to size, shape, and isomer.
The generated controlled samples are ideally suited for the envisioned precision experiments. We will exploit them to record atomic-resolution molecular movies using the European XFEL, as well as to investigate the limits of quantum mechanics using matter-wave interferometry."
Max ERC Funding
1 982 500 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym CosmoPars
Project Precision Cosmological Parameters
Researcher (PI) Antony Martin Lewis
Host Institution (HI) THE UNIVERSITY OF SUSSEX
Country United Kingdom
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary Proposal summary (half page, possibly copy/paste abstract from the administrative form A1)
Observations of the Cosmic Microwave Background (CMB) allow us to see 98% of the way to the big bang, back to a time when the Universe was only a few hundred thousand years old. Other forthcoming data will probe the more local universe in great detail. To test different possible universe models we need accurate theoretical predictions for this data in each model, and new sampling methods to solve the inference problem.
CMB data is most powerful if combined with information from other sources, allowing us to test many possible models of the universes and constrain cosmological parameters. As more models and parameters can be constrained, and higher precision means that more small uncertain corrections need to be consistently modelled, the problem of inference becomes challenging. I propose to develop ground-breaking new sampling methods for testing models with many parameters. To do this I will find novel sampling techniques, make efficient use of qualitatively different properties of different parameters, and develop a new parallelized sampling code that can be run on-demand in the cloud, leveraging the power of potentially vast and cheap cloud computing facilities and freeing up dedicated supercomputers for the problems where they are really needed.
In addition my team will develop new accurate theoretical predictions for confrontation with data, including analysis of new non-linear processes that will be a major source of confusion for dark energy and early universe studies, as well as correlations between different data sets.
I am applying for 70% of my time and two ERC postdocs to tackle these challenges.
Summary
Proposal summary (half page, possibly copy/paste abstract from the administrative form A1)
Observations of the Cosmic Microwave Background (CMB) allow us to see 98% of the way to the big bang, back to a time when the Universe was only a few hundred thousand years old. Other forthcoming data will probe the more local universe in great detail. To test different possible universe models we need accurate theoretical predictions for this data in each model, and new sampling methods to solve the inference problem.
CMB data is most powerful if combined with information from other sources, allowing us to test many possible models of the universes and constrain cosmological parameters. As more models and parameters can be constrained, and higher precision means that more small uncertain corrections need to be consistently modelled, the problem of inference becomes challenging. I propose to develop ground-breaking new sampling methods for testing models with many parameters. To do this I will find novel sampling techniques, make efficient use of qualitatively different properties of different parameters, and develop a new parallelized sampling code that can be run on-demand in the cloud, leveraging the power of potentially vast and cheap cloud computing facilities and freeing up dedicated supercomputers for the problems where they are really needed.
In addition my team will develop new accurate theoretical predictions for confrontation with data, including analysis of new non-linear processes that will be a major source of confusion for dark energy and early universe studies, as well as correlations between different data sets.
I am applying for 70% of my time and two ERC postdocs to tackle these challenges.
Max ERC Funding
1 372 496 €
Duration
Start date: 2014-05-01, End date: 2019-04-30
Project acronym DARKSURVEY
Project Using Galaxy Surveys to Understand the Dark Universe
Researcher (PI) William Percival
Host Institution (HI) UNIVERSITY OF PORTSMOUTH HIGHER EDUCATION CORPORATION
Country United Kingdom
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary Galaxy Surveys are a key resource for observational cosmology, with the potential to provide the answers to many fundamental questions in modern physics. The Darksurvey project will use the Dark Energy Survey (DES) and extended-Baryon Oscillation Spectroscopic Survey (eBOSS) within which Will Percival has key leadership positions, and future projects including MS-DESI to measure the cosmological expansion rate between redshifts 0.5 and 2, testing Dark Energy. Complimentary structure growth measurements will test Einstein's theory of Gravity on the largest scales possible. The large-scale clustering of galaxies will be used to constrain primordial non-Gaussianity, testing and constraining models of inflation. The scale-dependence of the clustering signal will be used to measure the masses of neutrinos through their early Universe effects, and to set constraints on the evolution of galaxies and structure over cosmological time-scales. Parallel development of innovative tests and measurement methods will be undertaken to enable and enhance these results, while joint analysis with CMB and weak-lensing data will be used to perform additional tests, and to break degeneracies present when cosmological models are tested.
This grant will consolidate the world-leading position of the group initiated by Will Percival at the University of Portsmouth, and developed over the last 4 years. Furthermore, it will train and develop a group of scientists within Europe with the key experimental skills required for the ESA Euclid mission.
Summary
Galaxy Surveys are a key resource for observational cosmology, with the potential to provide the answers to many fundamental questions in modern physics. The Darksurvey project will use the Dark Energy Survey (DES) and extended-Baryon Oscillation Spectroscopic Survey (eBOSS) within which Will Percival has key leadership positions, and future projects including MS-DESI to measure the cosmological expansion rate between redshifts 0.5 and 2, testing Dark Energy. Complimentary structure growth measurements will test Einstein's theory of Gravity on the largest scales possible. The large-scale clustering of galaxies will be used to constrain primordial non-Gaussianity, testing and constraining models of inflation. The scale-dependence of the clustering signal will be used to measure the masses of neutrinos through their early Universe effects, and to set constraints on the evolution of galaxies and structure over cosmological time-scales. Parallel development of innovative tests and measurement methods will be undertaken to enable and enhance these results, while joint analysis with CMB and weak-lensing data will be used to perform additional tests, and to break degeneracies present when cosmological models are tested.
This grant will consolidate the world-leading position of the group initiated by Will Percival at the University of Portsmouth, and developed over the last 4 years. Furthermore, it will train and develop a group of scientists within Europe with the key experimental skills required for the ESA Euclid mission.
Max ERC Funding
2 151 192 €
Duration
Start date: 2014-06-01, End date: 2020-05-31
Project acronym Design2Heal
Project Rational design of scaffold architecture and functionalization to induce healing and tissue regeneration
Researcher (PI) Juergen Groll
Host Institution (HI) UNIVERSITAETSKLINIKUM WUERZBURG - KLINIKUM DER BAYERISCHEN JULIUS-MAXIMILIANS-UNIVERSITAT
Country Germany
Call Details Consolidator Grant (CoG), PE8, ERC-2013-CoG
Summary When materials are implanted into the body they initiate an inflammatory response that is difficult to control. Consequently medical implants are tolerated by the body rather than fully integrated; the material is often sealed off from the body in a fibrotic capsule. Most recent research suggests that morphology is a decisive immunomodulatory trigger and may favor a healing-like reaction of the innate immune system, especially of macrophages.
I have pioneered a single-step method to generate non-woven fibrous scaffolds with surface chemistry control that allows specific cell adhesion. Additionally, my laboratory recently established melt electrospinning writing (MEW) that allows automated scaffold production by solvent-free electrostatic drawing with precise morphology control through rational deposition of polymer filaments in micrometer resolution.
Design2Heal is based on this world-wide unique combination of technologies and proposes to combine form (scaffold morphology) with function (surface chemistry) to generate biomaterials that are designed to heal and improve implant integration. Pioneering and ground breaking research within Design2Heal includes:
• A single-step procedure to fabricate MEW scaffolds with controlled surface functionalities for specific bioactivation.
• Unraveling the immunomodulatory potential of generic scaffold parameters (diameter, morphology) and surface functionalization (peptides, sugars, glycosaminoglycans) for rationally designed scaffolds in vitro with primary human innate immune cells.
• Resolve the immunomodulatory effects of cellular cross-talk and interaction between human immune cells, mesenchymal stem cells and endothelial progenitor cells in defined geometric confinements.
• In vivo proof-of-principle in the murine model
In case of success, Design2Heal will be a ground breaking first step towards actively healing implants independently of the affected tissue, with tremendous impact on healthcare worldwide.
Summary
When materials are implanted into the body they initiate an inflammatory response that is difficult to control. Consequently medical implants are tolerated by the body rather than fully integrated; the material is often sealed off from the body in a fibrotic capsule. Most recent research suggests that morphology is a decisive immunomodulatory trigger and may favor a healing-like reaction of the innate immune system, especially of macrophages.
I have pioneered a single-step method to generate non-woven fibrous scaffolds with surface chemistry control that allows specific cell adhesion. Additionally, my laboratory recently established melt electrospinning writing (MEW) that allows automated scaffold production by solvent-free electrostatic drawing with precise morphology control through rational deposition of polymer filaments in micrometer resolution.
Design2Heal is based on this world-wide unique combination of technologies and proposes to combine form (scaffold morphology) with function (surface chemistry) to generate biomaterials that are designed to heal and improve implant integration. Pioneering and ground breaking research within Design2Heal includes:
• A single-step procedure to fabricate MEW scaffolds with controlled surface functionalities for specific bioactivation.
• Unraveling the immunomodulatory potential of generic scaffold parameters (diameter, morphology) and surface functionalization (peptides, sugars, glycosaminoglycans) for rationally designed scaffolds in vitro with primary human innate immune cells.
• Resolve the immunomodulatory effects of cellular cross-talk and interaction between human immune cells, mesenchymal stem cells and endothelial progenitor cells in defined geometric confinements.
• In vivo proof-of-principle in the murine model
In case of success, Design2Heal will be a ground breaking first step towards actively healing implants independently of the affected tissue, with tremendous impact on healthcare worldwide.
Max ERC Funding
1 994 200 €
Duration
Start date: 2014-03-01, End date: 2019-02-28
Project acronym ESTYMA
Project Excited state quantum dynamics in molecular aggregates: a unified description from biology to devices
Researcher (PI) Alessandro Troisi
Host Institution (HI) THE UNIVERSITY OF LIVERPOOL
Country United Kingdom
Call Details Consolidator Grant (CoG), PE4, ERC-2013-CoG
Summary The coherent dynamics of excitons in systems of biological interest and in organic materials can now be studied with advanced experimental techniques, including two dimensional electronic spectroscopy, with time resolution of few femtoseconds. The theory of open quantum systems, that should support the interpretation of these new experiments, has been developed in different contexts over the past 60 years but seems now very inadequate for the problems of current interest. First of all, the systems under investigation are extremely complex and the most common approach, based on the development of phenomenological models, is often not very informative. Many different models yield results in agreement with the experiments and there is no systematic way to derive these models or to select the best model among many. Secondly, the quantum dynamics of excitons is so fast that one cannot assume that the dynamics of environment is much faster than the dynamics of the system, an assumption crucial for most theories. A remedy to the current limitation is proposed here through the following research objectives.
(1) A general and automatic protocol will be developed to generate simple treatable models of the system from an accurate atomistic description of the same system based on computational chemistry methods.
(2) A professionally-written software will be developed to study the quantum dynamics of model Hamiltonians for excitons in molecular aggregates. This software will incorporate different methodologies and will be designed to be usable also by non-specialists in the theory of quantum open systems (e.g. spectroscopists, computational chemists).
(3) A broad number of problems will be studied with this methodology including (i) exciton dynamics in light harvesting complexes and artificial proteins and (ii) exciton dynamics in molecular aggregates of relevance for organic electronics devices.
Summary
The coherent dynamics of excitons in systems of biological interest and in organic materials can now be studied with advanced experimental techniques, including two dimensional electronic spectroscopy, with time resolution of few femtoseconds. The theory of open quantum systems, that should support the interpretation of these new experiments, has been developed in different contexts over the past 60 years but seems now very inadequate for the problems of current interest. First of all, the systems under investigation are extremely complex and the most common approach, based on the development of phenomenological models, is often not very informative. Many different models yield results in agreement with the experiments and there is no systematic way to derive these models or to select the best model among many. Secondly, the quantum dynamics of excitons is so fast that one cannot assume that the dynamics of environment is much faster than the dynamics of the system, an assumption crucial for most theories. A remedy to the current limitation is proposed here through the following research objectives.
(1) A general and automatic protocol will be developed to generate simple treatable models of the system from an accurate atomistic description of the same system based on computational chemistry methods.
(2) A professionally-written software will be developed to study the quantum dynamics of model Hamiltonians for excitons in molecular aggregates. This software will incorporate different methodologies and will be designed to be usable also by non-specialists in the theory of quantum open systems (e.g. spectroscopists, computational chemists).
(3) A broad number of problems will be studied with this methodology including (i) exciton dynamics in light harvesting complexes and artificial proteins and (ii) exciton dynamics in molecular aggregates of relevance for organic electronics devices.
Max ERC Funding
1 512 873 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym ExoLights
Project Decoding Lights from Exotic Worlds
Researcher (PI) Giovanna Tinetti
Host Institution (HI) University College London
Country United Kingdom
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary It is now accepted that exoplanets are ubiquitous. However little is known about those planets we have detected beyond the fact they exist and their location. For a minority, we know their weight, size and orbital parameters. For less than twenty, we have some clues about their atmospheric temperature and composition. How do we progress from here?
We are still far from a hypothetical Hertzsprung–Russell diagram for planets and we do not even know whether there ever will be such classification for planets. The planetary parameters mass, radius and temperature alone do not explain the diversity revealed by current observations. The chemical composition of these planets is needed to trace back their formation history and evolution, as was the case for the Solar System.
Pioneering results were obtained through transit spectroscopy with Hubble, Spitzer and ground-based facilities, enabling the detection of ionic, atomic and molecular species and of the planet’s thermal structure. With the arrival of improved or dedicated instruments in the coming decade, planetary science will expand beyond the narrow boundaries of our Solar System to encompass our whole Galaxy.
In the next five years, ExoLights will address the following fundamental questions:
– Why are exoplanets as they are?
– What are the causes for the observed diversity?
– Can their formation history be traced back from their current composition and evolution?
New spectroscopic observations of a select sample of exoplanets’ atmospheres (~ 20 out of the 150 observable today) will be analysed with state-of-the art statistical techniques and interpreted through a comprehensive set of spectral retrieval models, developed by the PI and her team. This programme, together with the homogeneous re-analysis of archive observations of a larger sample of exoplanets, will allow us to use the chemical composition as a powerful diagnostic of the history, formation mechanisms and evolution of gaseous and rocky exoplanets.
Summary
It is now accepted that exoplanets are ubiquitous. However little is known about those planets we have detected beyond the fact they exist and their location. For a minority, we know their weight, size and orbital parameters. For less than twenty, we have some clues about their atmospheric temperature and composition. How do we progress from here?
We are still far from a hypothetical Hertzsprung–Russell diagram for planets and we do not even know whether there ever will be such classification for planets. The planetary parameters mass, radius and temperature alone do not explain the diversity revealed by current observations. The chemical composition of these planets is needed to trace back their formation history and evolution, as was the case for the Solar System.
Pioneering results were obtained through transit spectroscopy with Hubble, Spitzer and ground-based facilities, enabling the detection of ionic, atomic and molecular species and of the planet’s thermal structure. With the arrival of improved or dedicated instruments in the coming decade, planetary science will expand beyond the narrow boundaries of our Solar System to encompass our whole Galaxy.
In the next five years, ExoLights will address the following fundamental questions:
– Why are exoplanets as they are?
– What are the causes for the observed diversity?
– Can their formation history be traced back from their current composition and evolution?
New spectroscopic observations of a select sample of exoplanets’ atmospheres (~ 20 out of the 150 observable today) will be analysed with state-of-the art statistical techniques and interpreted through a comprehensive set of spectral retrieval models, developed by the PI and her team. This programme, together with the homogeneous re-analysis of archive observations of a larger sample of exoplanets, will allow us to use the chemical composition as a powerful diagnostic of the history, formation mechanisms and evolution of gaseous and rocky exoplanets.
Max ERC Funding
2 080 502 €
Duration
Start date: 2014-05-01, End date: 2019-04-30