Project acronym CORNEA
Project Controlling evolutionary dynamics of networked autonomous agents
Researcher (PI) Ming CAO
Host Institution (HI) RIJKSUNIVERSITEIT GRONINGEN
Country Netherlands
Call Details Consolidator Grant (CoG), PE7, ERC-2017-COG
Summary Large-scale technological, biological, economic, and social complex systems act as complex networks of interacting autonomous agents. Large numbers of interacting agents making self-interested decisions can result in highly complex, sometimes surprising, and often suboptimal, collective behaviors. Empowered by recent breakthroughs in data-driven cognitive learning technologies, networked agents collectively give rise to evolutionary dynamics that cannot be easily modeled, analysed and/or controlled using current systems and control theory. Consequently, there is an urgent need to develop new theoretical foundations to tackle the emerging challenging control problems associated with evolutionary dynamics for networked autonomous agents.
The aim of this project is to develop a rigorous theory for the control of evolutionary dynamics so that interacting autonomous agents can be guided to solve group tasks through the pursuit of individual goals in an evolutionary dynamical process. The theory will then be tested, validated and improved against experimental results using robotic fish.
To achieve the aim, I will: (1) develop a general formulation for stochastic evolutionary dynamics with control inputs, enabling the study on controllability and stabilizability for evolutionary processes; (2) introduce stochastic control Lyapunov functions to design control laws; (3) construct new classes of conditional strategies that may propagate controlled actions effectively from focal agents in multiple time scales; and (4) validate experimentally on tasks with unknown difficulties that require a group of robotic fish to evolve and adapt.
The project will result in a major advance from the conventional usage of evolutionary game theory with the systematic design to actively control evolutionary outcomes. The combination of theory with experimentation and the multi-disciplinary nature of the approach will lead to new applications of autonomous robotic systems.
Summary
Large-scale technological, biological, economic, and social complex systems act as complex networks of interacting autonomous agents. Large numbers of interacting agents making self-interested decisions can result in highly complex, sometimes surprising, and often suboptimal, collective behaviors. Empowered by recent breakthroughs in data-driven cognitive learning technologies, networked agents collectively give rise to evolutionary dynamics that cannot be easily modeled, analysed and/or controlled using current systems and control theory. Consequently, there is an urgent need to develop new theoretical foundations to tackle the emerging challenging control problems associated with evolutionary dynamics for networked autonomous agents.
The aim of this project is to develop a rigorous theory for the control of evolutionary dynamics so that interacting autonomous agents can be guided to solve group tasks through the pursuit of individual goals in an evolutionary dynamical process. The theory will then be tested, validated and improved against experimental results using robotic fish.
To achieve the aim, I will: (1) develop a general formulation for stochastic evolutionary dynamics with control inputs, enabling the study on controllability and stabilizability for evolutionary processes; (2) introduce stochastic control Lyapunov functions to design control laws; (3) construct new classes of conditional strategies that may propagate controlled actions effectively from focal agents in multiple time scales; and (4) validate experimentally on tasks with unknown difficulties that require a group of robotic fish to evolve and adapt.
The project will result in a major advance from the conventional usage of evolutionary game theory with the systematic design to actively control evolutionary outcomes. The combination of theory with experimentation and the multi-disciplinary nature of the approach will lead to new applications of autonomous robotic systems.
Max ERC Funding
1 998 933 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym DeLiCAT
Project Death and Life of Catalysts: a Theory-Guided Unified Approach for Non-Critical Metal Catalyst Development
Researcher (PI) Evgeny Alexandrovich PIDKO
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Country Netherlands
Call Details Consolidator Grant (CoG), PE4, ERC-2016-COG
Summary Most of the developments in catalyst are still based on serendipitous and trial-and-error approaches, in which potential systems can be overlooked simply because of the sub-optimal conditions of the initial activity assessment. Mechanistic and kinetic studies could provide a framework for a more adequate assessment of new catalysts, but such rigorous experiments are not practical for general catalyst discovery. Modern chemical theory and computations hold a promise to be employed in new efficient theory-guided approaches for rational catalyst and process development.
The main aim of DeLiCat is to formulate a hierarchical computational strategy for the design and synthesis of new non-critical metal-based catalysts for sustainable chemical transformations. New, durable and cheap, yet, highly active and selective tailor-made catalyst for hydrogenation of carboxylic acids and their esters as well as for acceptorless dehydrogenation of alcohols will be developed. The research will follow an innovative strategy combining advanced chemical theory, computational screening and experimental approaches from the fields of homogeneous and heterogeneous catalysis in an efficient knowledge exchange loop. Computer simulations will reveal complex reaction networks that determine the “death” and the “life” of catalyst systems. These insights will be used in targeted design of novel multifunctional catalyst systems to direct the selectivity of the reaction network and to prevent deactivation paths. Complementary experimental studies will guide and validate the theoretical predictions.
DeLiCAT represents a leap forward in unified first principles-guided catalyst design for liquid phase chemical transformations. The new theoretical concepts, methodological advances as well as the novel superior catalyst systems developed here will be applicable in various areas including biomass valorization, homogeneous and heterogeneous catalysis as well as hydrogen technology.
Summary
Most of the developments in catalyst are still based on serendipitous and trial-and-error approaches, in which potential systems can be overlooked simply because of the sub-optimal conditions of the initial activity assessment. Mechanistic and kinetic studies could provide a framework for a more adequate assessment of new catalysts, but such rigorous experiments are not practical for general catalyst discovery. Modern chemical theory and computations hold a promise to be employed in new efficient theory-guided approaches for rational catalyst and process development.
The main aim of DeLiCat is to formulate a hierarchical computational strategy for the design and synthesis of new non-critical metal-based catalysts for sustainable chemical transformations. New, durable and cheap, yet, highly active and selective tailor-made catalyst for hydrogenation of carboxylic acids and their esters as well as for acceptorless dehydrogenation of alcohols will be developed. The research will follow an innovative strategy combining advanced chemical theory, computational screening and experimental approaches from the fields of homogeneous and heterogeneous catalysis in an efficient knowledge exchange loop. Computer simulations will reveal complex reaction networks that determine the “death” and the “life” of catalyst systems. These insights will be used in targeted design of novel multifunctional catalyst systems to direct the selectivity of the reaction network and to prevent deactivation paths. Complementary experimental studies will guide and validate the theoretical predictions.
DeLiCAT represents a leap forward in unified first principles-guided catalyst design for liquid phase chemical transformations. The new theoretical concepts, methodological advances as well as the novel superior catalyst systems developed here will be applicable in various areas including biomass valorization, homogeneous and heterogeneous catalysis as well as hydrogen technology.
Max ERC Funding
1 999 524 €
Duration
Start date: 2017-05-01, End date: 2022-04-30
Project acronym FoTran
Project Found in Translation – Natural Language Understanding with Cross-Lingual Grounding
Researcher (PI) Joerg TIEDEMANN
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), PE6, ERC-2017-COG
Summary "Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference."
Summary
"Natural language understanding is the ""holy grail"" of computational linguistics and a long-term goal in research on artificial intelligence. Understanding human communication is difficult due to the various ambiguities in natural languages and the wide range of contextual dependencies required to resolve them. Discovering the semantics behind language input is necessary for proper interpretation in interactive tools, which requires an abstraction from language-specific forms to language-independent meaning representations. With this project, I propose a line of research that will focus on the development of novel data-driven models that can learn such meaning representations from indirect supervision provided by human translations covering a substantial proportion of the linguistic diversity in the world. A guiding principle is cross-lingual grounding, the effect of resolving ambiguities through translation. The beauty of that idea is the use of naturally occurring data instead of artificially created resources and costly manual annotations. The framework is based on deep learning and neural machine translation and my hypothesis is that training on increasing amounts of linguistically diverse data improves the abstractions found by the model. Eventually, this will lead to universal sentence-level meaning representations and we will test our ideas with multilingual machine translation and tasks that require semantic reasoning and inference."
Max ERC Funding
1 817 622 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym GLYCONTROL
Project Understanding and Controlling Glycosylation Reactions
Researcher (PI) Jeroen Dirk Cornelis CODeE
Host Institution (HI) UNIVERSITEIT LEIDEN
Country Netherlands
Call Details Consolidator Grant (CoG), PE5, ERC-2016-COG
Summary This proposal aims to understand and control glycosylation reactions. In a glycosylation reaction a “donor” glycoside and an “acceptor” (the nucleophile) are united to form an oligosaccharide. Although it is the central reaction in carbohydrate chemistry, our understanding of this reaction, in terms of stereoselectivity and productivity is still limited. The structural variation in the building blocks leads to a complex continuum of SN2-SN1 mechanisms that operates and it is currently impossible to predict where in the continuum the reaction exactly takes place. This proposal provides fundamental insight into the outcome of glycosylations by studying both the activated donor glycoside and the acceptor nucleophile. Activation of a donor glycoside leads to different reactive intermediates, covalent anomeric species (most often triflates) and oxocarbenium ion-like species. The relative reactivity of these species is quantified to generate novel reactivity charts. The covalent species are studied by innovative competition experiments, kinetic studies and NMR spectroscopy. The (fleeting) oxocarbenium ion-like intermediates are probed by a computational approach and by “super-acid NMR” studies in which stable glycosyl cations are generated and studied in super-acid media. The reactivity of glycosyl acceptors is systematically studied in a set of SN2 or SN1-type glycosylations. Using kinetic studies and competition reactions charts of acceptor nucleophilicity are compiled. The reactivity of the donors and acceptors is matched using a family of tailor made “reactivity modulators”, spanning a broad reactivity window bridging the reactivity gap between the building blocks leading to predictable glycosylations. The developed methodology is employed in automated solid phase syntheses of libraries of oligosaccharides featuring multiple cis-glycosidic linkages. The proposal is a major step forward in the development of a general glycosylation procedure.
Summary
This proposal aims to understand and control glycosylation reactions. In a glycosylation reaction a “donor” glycoside and an “acceptor” (the nucleophile) are united to form an oligosaccharide. Although it is the central reaction in carbohydrate chemistry, our understanding of this reaction, in terms of stereoselectivity and productivity is still limited. The structural variation in the building blocks leads to a complex continuum of SN2-SN1 mechanisms that operates and it is currently impossible to predict where in the continuum the reaction exactly takes place. This proposal provides fundamental insight into the outcome of glycosylations by studying both the activated donor glycoside and the acceptor nucleophile. Activation of a donor glycoside leads to different reactive intermediates, covalent anomeric species (most often triflates) and oxocarbenium ion-like species. The relative reactivity of these species is quantified to generate novel reactivity charts. The covalent species are studied by innovative competition experiments, kinetic studies and NMR spectroscopy. The (fleeting) oxocarbenium ion-like intermediates are probed by a computational approach and by “super-acid NMR” studies in which stable glycosyl cations are generated and studied in super-acid media. The reactivity of glycosyl acceptors is systematically studied in a set of SN2 or SN1-type glycosylations. Using kinetic studies and competition reactions charts of acceptor nucleophilicity are compiled. The reactivity of the donors and acceptors is matched using a family of tailor made “reactivity modulators”, spanning a broad reactivity window bridging the reactivity gap between the building blocks leading to predictable glycosylations. The developed methodology is employed in automated solid phase syntheses of libraries of oligosaccharides featuring multiple cis-glycosidic linkages. The proposal is a major step forward in the development of a general glycosylation procedure.
Max ERC Funding
2 000 000 €
Duration
Start date: 2017-05-01, End date: 2022-04-30
Project acronym HELENA
Project Heavy-Element Nanowires
Researcher (PI) Erik Petrus Antonius Maria Bakkers
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Country Netherlands
Call Details Consolidator Grant (CoG), PE5, ERC-2013-CoG
Summary "Nanowires are a powerful and versatile platform for a broad range of applications. Among all semiconductors, the heavy-elements materials exhibit the highest electron mobilities, strongest spin-orbit coupling and best thermoelectric properties. Nonetheless, heavy-element nanowires have been unexplored. With this proposal we unite the unique advantages of design freedom of nanowires with the special properties of heavy-element semiconductors. We specifically reveal the potential of heavy-element nanowires in the areas of thermoelectrics, and topological insulators. Using our strong track record in this area, we will pioneer the synthesis of this new class of materials and study their intrinsic materials properties. Starting point are nanowires of InSb and PbTe grown using the vapor-liquid-solid mechanism. Our aims are 1) to obtain highest-possible electron mobilities for these bottom-up fabricated materials by investigating new materials combinations of different semiconductor classes to effectively passivate the nanowire surface and we will eliminate impurities; 2) to investigate and optimize thermoelectric properties by developing advanced superlattice and core/shell nanowire structures where electronic and phononic transport is decoupled; and 3) to fabricate high-quality planar nanowire networks, which enable four-point electronic transport measurements and allow precisely determining carrier concentration and mobility. Besides the fundamentally interesting materials science, the heavy-element nanowires will have major impact on the fields of renewable energy, new (quasi) particles and quantum information processing. Recently, the first signatures of Majorana fermions have been observed in our InSb nanowires. With the proposed nanowire networks the special properties of this recently discovered particle can be tested for the first time."
Summary
"Nanowires are a powerful and versatile platform for a broad range of applications. Among all semiconductors, the heavy-elements materials exhibit the highest electron mobilities, strongest spin-orbit coupling and best thermoelectric properties. Nonetheless, heavy-element nanowires have been unexplored. With this proposal we unite the unique advantages of design freedom of nanowires with the special properties of heavy-element semiconductors. We specifically reveal the potential of heavy-element nanowires in the areas of thermoelectrics, and topological insulators. Using our strong track record in this area, we will pioneer the synthesis of this new class of materials and study their intrinsic materials properties. Starting point are nanowires of InSb and PbTe grown using the vapor-liquid-solid mechanism. Our aims are 1) to obtain highest-possible electron mobilities for these bottom-up fabricated materials by investigating new materials combinations of different semiconductor classes to effectively passivate the nanowire surface and we will eliminate impurities; 2) to investigate and optimize thermoelectric properties by developing advanced superlattice and core/shell nanowire structures where electronic and phononic transport is decoupled; and 3) to fabricate high-quality planar nanowire networks, which enable four-point electronic transport measurements and allow precisely determining carrier concentration and mobility. Besides the fundamentally interesting materials science, the heavy-element nanowires will have major impact on the fields of renewable energy, new (quasi) particles and quantum information processing. Recently, the first signatures of Majorana fermions have been observed in our InSb nanowires. With the proposed nanowire networks the special properties of this recently discovered particle can be tested for the first time."
Max ERC Funding
2 698 447 €
Duration
Start date: 2014-09-01, End date: 2019-08-31
Project acronym IPTheoryUnified
Project Inverse boundary problems: toward a unified theory
Researcher (PI) Mikko SALO
Host Institution (HI) JYVASKYLAN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), PE1, ERC-2017-COG
Summary This proposal is concerned with the mathematical theory of inverse problems. This is a vibrant research field at the intersection of pure and applied mathematics, drawing techniques from PDE, geometry, and harmonic analysis as well as generating new research questions inspired by applications. Prominent questions include the Calderón problem related to electrical imaging, the Gel'fand problem related to seismic imaging, and geometric inverse problems such as inversion of the geodesic X-ray transform.
Recently, exciting new connections between these different topics have begun to emerge in the work of the PI and others, such as:
- The explicit appearance of the geodesic X-ray transform in the Calderón problem.
- An unexpected connection between the Calderón and Gel’fand problems involving control theory.
- Pseudo-linearization as a potential unifying principle for reducing nonlinear problems to linear ones.
- The introduction of microlocal normal forms in inverse problems for PDE.
These examples strongly suggest that there is a larger picture behind various different inverse problems, which remains to be fully revealed.
This project will explore the possibility of a unified theory for several inverse boundary problems. Particular objectives include:
1. The use of normal forms and pseudo-linearization as a unified point of view, including reductions to questions in integral geometry and control theory.
2. The solution of integral geometry problems, including the analysis of convex foliations, invertibility of ray transforms, and a systematic Carleman estimate approach to uniqueness results.
3. A theory of inverse problems for nonlocal models based on control theory arguments.
Such a unified theory could have remarkable consequences even in other fields of mathematics, including controllability methods in transport theory, a solution of the boundary rigidity problem in geometry, or a general pseudo-linearization approach for solving nonlinear operator equations.
Summary
This proposal is concerned with the mathematical theory of inverse problems. This is a vibrant research field at the intersection of pure and applied mathematics, drawing techniques from PDE, geometry, and harmonic analysis as well as generating new research questions inspired by applications. Prominent questions include the Calderón problem related to electrical imaging, the Gel'fand problem related to seismic imaging, and geometric inverse problems such as inversion of the geodesic X-ray transform.
Recently, exciting new connections between these different topics have begun to emerge in the work of the PI and others, such as:
- The explicit appearance of the geodesic X-ray transform in the Calderón problem.
- An unexpected connection between the Calderón and Gel’fand problems involving control theory.
- Pseudo-linearization as a potential unifying principle for reducing nonlinear problems to linear ones.
- The introduction of microlocal normal forms in inverse problems for PDE.
These examples strongly suggest that there is a larger picture behind various different inverse problems, which remains to be fully revealed.
This project will explore the possibility of a unified theory for several inverse boundary problems. Particular objectives include:
1. The use of normal forms and pseudo-linearization as a unified point of view, including reductions to questions in integral geometry and control theory.
2. The solution of integral geometry problems, including the analysis of convex foliations, invertibility of ray transforms, and a systematic Carleman estimate approach to uniqueness results.
3. A theory of inverse problems for nonlocal models based on control theory arguments.
Such a unified theory could have remarkable consequences even in other fields of mathematics, including controllability methods in transport theory, a solution of the boundary rigidity problem in geometry, or a general pseudo-linearization approach for solving nonlinear operator equations.
Max ERC Funding
920 880 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym LACOPAROM
Project Lewis acid promoted copper catalysis to functionalise and dearomatise arenes
Researcher (PI) Syuzanna HARUTYUNYAN
Host Institution (HI) RIJKSUNIVERSITEIT GRONINGEN
Country Netherlands
Call Details Consolidator Grant (CoG), PE5, ERC-2017-COG
Summary Aromatic compounds are cheap and readily available, making them ideal starting materials for the synthesis of chiral alicyclic compounds, important synthetic building blocks for both natural product synthesis and drug discovery. However, general strategies for efficient, catalytic dearomatisation of aromatics are lacking.
This proposal aims to fill this gap by developing general asymmetric methods for dearomatisation reactions of both electron-rich and electron-deficient aromatics. It relies on an innovative approach based on LA activation of the arenes, followed by copper catalyzed carbon-carbon bond forming reactions, with a special focus on environmentally benign and cost-effective processes.
To achieve the overall aim of the proposed project, the research program is composed of four distinct but complementary research lines aiming at catalytic asymmetric dearomatisation/carbon-carbon bond forming reactions using:
- Electron-deficient carbonyl substituted arenes
- Pyridines and other N-containing heteroarenes
- Phenols and anilines and fused analogues
- Benzylic aromatic systems
The remarkable and novel feature of this strategy is that it enables for the first time selective catalytic asymmetric dearomatisations of various classes of aromatic substrates following a general, unified concept. Furthermore, since sequential bond constructions take place in a single synthetic operation, a rapid increase of molecular complexity can be achieved at greatly reduced cost and increased atom-efficiency, thereby contributing to a more sustainable future. Consequently, there is huge potential for this strategy to become an invaluable instrument to access a wide variety of chiral carbocyclic compounds and I anticipate it will have a significant impact in the field of organic synthesis.
Summary
Aromatic compounds are cheap and readily available, making them ideal starting materials for the synthesis of chiral alicyclic compounds, important synthetic building blocks for both natural product synthesis and drug discovery. However, general strategies for efficient, catalytic dearomatisation of aromatics are lacking.
This proposal aims to fill this gap by developing general asymmetric methods for dearomatisation reactions of both electron-rich and electron-deficient aromatics. It relies on an innovative approach based on LA activation of the arenes, followed by copper catalyzed carbon-carbon bond forming reactions, with a special focus on environmentally benign and cost-effective processes.
To achieve the overall aim of the proposed project, the research program is composed of four distinct but complementary research lines aiming at catalytic asymmetric dearomatisation/carbon-carbon bond forming reactions using:
- Electron-deficient carbonyl substituted arenes
- Pyridines and other N-containing heteroarenes
- Phenols and anilines and fused analogues
- Benzylic aromatic systems
The remarkable and novel feature of this strategy is that it enables for the first time selective catalytic asymmetric dearomatisations of various classes of aromatic substrates following a general, unified concept. Furthermore, since sequential bond constructions take place in a single synthetic operation, a rapid increase of molecular complexity can be achieved at greatly reduced cost and increased atom-efficiency, thereby contributing to a more sustainable future. Consequently, there is huge potential for this strategy to become an invaluable instrument to access a wide variety of chiral carbocyclic compounds and I anticipate it will have a significant impact in the field of organic synthesis.
Max ERC Funding
1 999 398 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym MAIDEN
Project Masses, isomers and decay studies for elemental nucleosynthesis
Researcher (PI) Anu KANKAINEN
Host Institution (HI) JYVASKYLAN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), PE2, ERC-2017-COG
Summary About half of the elements heavier than iron have been produced via the rapid neutron capture process, the r process. Its astrophysical site has been one of the biggest outstanding questions in physics. Neutrino-driven winds from proto-neutron stars created in core-collapse supernovae were long considered as the most favourable site for the r process. Recently, neutron-star mergers have become the most promising candidates, and new exciting observations from these compact objects, such as gravitational waves, are expected in the coming years. In order to constrain the astrophysical site for the r process, nuclear binding energies (i.e. masses) of exotic neutron-rich nuclei are needed because they determine the path for the process and therefore have a direct effect on the final isotopic abundances. In this project, high-precision mass measurements will be performed in three regions relevant for the r process, employing novel production and measurement techniques at the IGISOL facility in JYFL-ACCLAB. Long-living isomeric states, which also play a role in the r process, will be resolved from the ground states to obtain accurate mass values. Post-trap decay spectroscopy will be performed to confirm which state has been measured in order to avoid systematic uncertainties in the mass values. The new data will be compared with theoretical mass models and included in r-process calculations performed for various astrophysical sites. MAIDEN will advance our knowledge of nuclear structure far from stability and reduce nuclear data uncertainties in the r-process calculations, which can potentially constrain the astrophysical site for the r process and lead to a scientific breakthrough in our understanding of the origin of elements heavier than iron in the universe.
Summary
About half of the elements heavier than iron have been produced via the rapid neutron capture process, the r process. Its astrophysical site has been one of the biggest outstanding questions in physics. Neutrino-driven winds from proto-neutron stars created in core-collapse supernovae were long considered as the most favourable site for the r process. Recently, neutron-star mergers have become the most promising candidates, and new exciting observations from these compact objects, such as gravitational waves, are expected in the coming years. In order to constrain the astrophysical site for the r process, nuclear binding energies (i.e. masses) of exotic neutron-rich nuclei are needed because they determine the path for the process and therefore have a direct effect on the final isotopic abundances. In this project, high-precision mass measurements will be performed in three regions relevant for the r process, employing novel production and measurement techniques at the IGISOL facility in JYFL-ACCLAB. Long-living isomeric states, which also play a role in the r process, will be resolved from the ground states to obtain accurate mass values. Post-trap decay spectroscopy will be performed to confirm which state has been measured in order to avoid systematic uncertainties in the mass values. The new data will be compared with theoretical mass models and included in r-process calculations performed for various astrophysical sites. MAIDEN will advance our knowledge of nuclear structure far from stability and reduce nuclear data uncertainties in the r-process calculations, which can potentially constrain the astrophysical site for the r process and lead to a scientific breakthrough in our understanding of the origin of elements heavier than iron in the universe.
Max ERC Funding
1 999 575 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym Morpheus
Project Morphogenesis of photo-mechanized molecular materials
Researcher (PI) Nathalie Helene Katsonis
Host Institution (HI) RIJKSUNIVERSITEIT GRONINGEN
Country Netherlands
Call Details Consolidator Grant (CoG), PE5, ERC-2017-COG
Summary The sophistication reached by organic chemistry has enabled the design and synthesis of a wide range of dynamic molecules that display controlled shape changes with an ever-increasing refinement. However, amplifying these molecular-scale dynamics to support shape-transformation in a broad range of macroscopic functions remains a key challenge.
To address this challenge, I draw inspiration from living materials where molecular machines maintain out of equilibrium states by ingenious coupling with their anisotropic supramolecular environment, and ultimately promote the appearance of emergent properties on higher levels of organization.
The aim of Morpheus is to develop shape-shifting materials and shape-generating photochemical systems by amplifying the motion of molecular machines over increasing length scales, towards the emergence of cohesive shape transformation in artificial tissue-like materials.
We will (i) develop motorized materials by coupling light-driven molecular motors to liquid crystals and pre-program photoreaction-diffusion processes to achieve continuous motion; (ii) combine microfluidics with the anisotropic response of liquid crystal elastomers to create a library of shape-shifting bubbles and shells that undergo pre-programmed shape modification under irradiation with light; (iii) promote adhesion between units of mechanized matter, while preserving their original shape-shifting and shape-generating properties; and (iv) assemble tissue-like morphing materials from large cohesive networks of shape-shifting micro-spheres.
This project will lay the scientific foundation for a new and multidisciplinary approach towards shape-generating molecular materials. It will yield unprecedented examples of emergent dynamics, provide simple models to untangle the underpinnings of mechanical transduction in nature, and contribute to developing new paradigms for the design of active matter.
Summary
The sophistication reached by organic chemistry has enabled the design and synthesis of a wide range of dynamic molecules that display controlled shape changes with an ever-increasing refinement. However, amplifying these molecular-scale dynamics to support shape-transformation in a broad range of macroscopic functions remains a key challenge.
To address this challenge, I draw inspiration from living materials where molecular machines maintain out of equilibrium states by ingenious coupling with their anisotropic supramolecular environment, and ultimately promote the appearance of emergent properties on higher levels of organization.
The aim of Morpheus is to develop shape-shifting materials and shape-generating photochemical systems by amplifying the motion of molecular machines over increasing length scales, towards the emergence of cohesive shape transformation in artificial tissue-like materials.
We will (i) develop motorized materials by coupling light-driven molecular motors to liquid crystals and pre-program photoreaction-diffusion processes to achieve continuous motion; (ii) combine microfluidics with the anisotropic response of liquid crystal elastomers to create a library of shape-shifting bubbles and shells that undergo pre-programmed shape modification under irradiation with light; (iii) promote adhesion between units of mechanized matter, while preserving their original shape-shifting and shape-generating properties; and (iv) assemble tissue-like morphing materials from large cohesive networks of shape-shifting micro-spheres.
This project will lay the scientific foundation for a new and multidisciplinary approach towards shape-generating molecular materials. It will yield unprecedented examples of emergent dynamics, provide simple models to untangle the underpinnings of mechanical transduction in nature, and contribute to developing new paradigms for the design of active matter.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym PROTCAGE
Project Chemistry in the Confinement of Protein Cages
Researcher (PI) Jeroen Johannes Lambertus Maria Cornelissen
Host Institution (HI) UNIVERSITEIT TWENTE
Country Netherlands
Call Details Consolidator Grant (CoG), PE5, ERC-2013-CoG
Summary Protein cages appear to be common structures in biology, found in viruses but also in organelle-like containers discovered in bacteria. In this proposed program I aim to study chemical processes in nano-sized protein cages as mimics of bacterial organelles and to increase the general understanding of chemistry in confinement.
Towards this goal we will investigate the controlled in vivo loading of bacterial protein cages, i.e. encapsulins, with proteins and enzymes. This will allow us to study in detail the chemical conversions that take place inside such capsules and it will increase understanding about the reasons why certain processes inside these simple organisms are encased in the protein organelles.
Completely artificial protein organelles will be constructed by in vitro processes using the well-studied Cowpea Chlorotic Mottle virus cage. By employing DNA technology, cages will be loaded with a single enzyme, a sequence of enzymes or molecular probes. By obtaining this high level of control, we can not only study chemical conversions on the inside, but it will also allow us to monitor the physiochemical properties, such as internal pH, polarity and porosity of the protein mantle by encasing the relevant probes or host/guest systems.
In the ultimate stage of the proposed project the formed artificial organelles will be brought into cells in order to interact with the cell metabolism. CCMV has to be introduced by surface modification, while encapsulins can be formed inside these cells; albeit with different cargo. Such experiments have, to my knowledge, not been carried out and introducing new reactions inside these organisms can lead to new potentially interesting products or interfere with cell vitality. The latter can be of importance for the controlled disruption of bacterial cells.
Summary
Protein cages appear to be common structures in biology, found in viruses but also in organelle-like containers discovered in bacteria. In this proposed program I aim to study chemical processes in nano-sized protein cages as mimics of bacterial organelles and to increase the general understanding of chemistry in confinement.
Towards this goal we will investigate the controlled in vivo loading of bacterial protein cages, i.e. encapsulins, with proteins and enzymes. This will allow us to study in detail the chemical conversions that take place inside such capsules and it will increase understanding about the reasons why certain processes inside these simple organisms are encased in the protein organelles.
Completely artificial protein organelles will be constructed by in vitro processes using the well-studied Cowpea Chlorotic Mottle virus cage. By employing DNA technology, cages will be loaded with a single enzyme, a sequence of enzymes or molecular probes. By obtaining this high level of control, we can not only study chemical conversions on the inside, but it will also allow us to monitor the physiochemical properties, such as internal pH, polarity and porosity of the protein mantle by encasing the relevant probes or host/guest systems.
In the ultimate stage of the proposed project the formed artificial organelles will be brought into cells in order to interact with the cell metabolism. CCMV has to be introduced by surface modification, while encapsulins can be formed inside these cells; albeit with different cargo. Such experiments have, to my knowledge, not been carried out and introducing new reactions inside these organisms can lead to new potentially interesting products or interfere with cell vitality. The latter can be of importance for the controlled disruption of bacterial cells.
Max ERC Funding
1 994 400 €
Duration
Start date: 2014-05-01, End date: 2019-04-30