Project acronym 3MC
Project 3D Model Catalysts to explore new routes to sustainable fuels
Researcher (PI) Petra Elisabeth De jongh
Host Institution (HI) UNIVERSITEIT UTRECHT
Call Details Consolidator Grant (CoG), PE4, ERC-2014-CoG
Summary Currently fuels, plastics, and drugs are predominantly manufactured from oil. A transition towards renewable resources critically depends on new catalysts, for instance to convert small molecules (such as solar or biomass derived hydrogen, carbon monoxide, water and carbon dioxide) into more complex ones (such as oxygenates, containing oxygen atoms in their structure). Catalyst development now often depends on trial and error rather than rational design, as the heterogeneity of these composite systems hampers detailed understanding of the role of each of the components.
I propose 3D model catalysts as a novel enabling tool to overcome this problem. Their well-defined nature allows unprecedented precision in the variation of structural parameters (morphology, spatial distribution) of the individual components, while at the same time they mimic real catalysts closely enough to allow testing under industrially relevant conditions. Using this approach I will address fundamental questions, such as:
* What are the mechanisms (structural, electronic, chemical) by which non-metal promoters influence the functionality of copper-based catalysts?
* Which nanoalloys can be formed, how does their composition influence the surface active sites and catalytic functionality under reaction conditions?
* Which size and interface effects occur, and how can we use them to tune the actitivity and selectivity towards desired products?
Our 3D model catalysts will be assembled from ordered mesoporous silica and carbon support materials and Cu-based promoted and bimetallic nanoparticles. The combination with high resolution characterization and testing under realistic conditions allows detailed insight into the role of the different components; critical for the rational design of novel catalysts for a future more sustainable production of chemicals and fuels from renewable resources.
Summary
Currently fuels, plastics, and drugs are predominantly manufactured from oil. A transition towards renewable resources critically depends on new catalysts, for instance to convert small molecules (such as solar or biomass derived hydrogen, carbon monoxide, water and carbon dioxide) into more complex ones (such as oxygenates, containing oxygen atoms in their structure). Catalyst development now often depends on trial and error rather than rational design, as the heterogeneity of these composite systems hampers detailed understanding of the role of each of the components.
I propose 3D model catalysts as a novel enabling tool to overcome this problem. Their well-defined nature allows unprecedented precision in the variation of structural parameters (morphology, spatial distribution) of the individual components, while at the same time they mimic real catalysts closely enough to allow testing under industrially relevant conditions. Using this approach I will address fundamental questions, such as:
* What are the mechanisms (structural, electronic, chemical) by which non-metal promoters influence the functionality of copper-based catalysts?
* Which nanoalloys can be formed, how does their composition influence the surface active sites and catalytic functionality under reaction conditions?
* Which size and interface effects occur, and how can we use them to tune the actitivity and selectivity towards desired products?
Our 3D model catalysts will be assembled from ordered mesoporous silica and carbon support materials and Cu-based promoted and bimetallic nanoparticles. The combination with high resolution characterization and testing under realistic conditions allows detailed insight into the role of the different components; critical for the rational design of novel catalysts for a future more sustainable production of chemicals and fuels from renewable resources.
Max ERC Funding
1 999 625 €
Duration
Start date: 2015-09-01, End date: 2020-08-31
Project acronym AIDA
Project An Illumination of the Dark Ages: modeling reionization and interpreting observations
Researcher (PI) Andrei Albert Mesinger
Host Institution (HI) SCUOLA NORMALE SUPERIORE
Call Details Starting Grant (StG), PE9, ERC-2014-STG
Summary "Understanding the dawn of the first galaxies and how their light permeated the early Universe is at the very frontier of modern astrophysical cosmology. Generous resources, including ambitions observational programs, are being devoted to studying these epochs of Cosmic Dawn (CD) and Reionization (EoR). In order to interpret these observations, we propose to build on our widely-used, semi-numeric simulation tool, 21cmFAST, and apply it to observations. Using sub-grid, semi-analytic models, we will incorporate additional physical processes governing the evolution of sources and sinks of ionizing photons. The resulting state-of-the-art simulations will be well poised to interpret topical observations of quasar spectra and the cosmic 21cm signal. They would be both physically-motivated and fast, allowing us to rapidly explore astrophysical parameter space. We will statistically quantify the resulting degeneracies and constraints, providing a robust answer to the question, ""What can we learn from EoR/CD observations?"" As an end goal, these investigations will help us understand when the first generations of galaxies formed, how they drove the EoR, and what are the associated large-scale observational signatures."
Summary
"Understanding the dawn of the first galaxies and how their light permeated the early Universe is at the very frontier of modern astrophysical cosmology. Generous resources, including ambitions observational programs, are being devoted to studying these epochs of Cosmic Dawn (CD) and Reionization (EoR). In order to interpret these observations, we propose to build on our widely-used, semi-numeric simulation tool, 21cmFAST, and apply it to observations. Using sub-grid, semi-analytic models, we will incorporate additional physical processes governing the evolution of sources and sinks of ionizing photons. The resulting state-of-the-art simulations will be well poised to interpret topical observations of quasar spectra and the cosmic 21cm signal. They would be both physically-motivated and fast, allowing us to rapidly explore astrophysical parameter space. We will statistically quantify the resulting degeneracies and constraints, providing a robust answer to the question, ""What can we learn from EoR/CD observations?"" As an end goal, these investigations will help us understand when the first generations of galaxies formed, how they drove the EoR, and what are the associated large-scale observational signatures."
Max ERC Funding
1 468 750 €
Duration
Start date: 2015-05-01, End date: 2021-01-31
Project acronym ALDof 2DTMDs
Project Atomic layer deposition of two-dimensional transition metal dichalcogenide nanolayers
Researcher (PI) Ageeth Bol
Host Institution (HI) TECHNISCHE UNIVERSITEIT EINDHOVEN
Call Details Consolidator Grant (CoG), PE5, ERC-2014-CoG
Summary Two-dimensional transition metal dichalcogenides (2D-TMDs) are an exciting class of new materials. Their ultrathin body, optical band gap and unusual spin and valley polarization physics make them very promising candidates for a vast new range of (opto-)electronic applications. So far, most experimental work on 2D-TMDs has been performed on exfoliated flakes made by the ‘Scotch tape’ technique. The major next challenge is the large-area synthesis of 2D-TMDs by a technique that ultimately can be used for commercial device fabrication.
Building upon pure 2D-TMDs, even more functionalities can be gained from 2D-TMD alloys and heterostructures. Theoretical work on these derivates reveals exciting new phenomena, but experimentally this field is largely unexplored due to synthesis technique limitations.
The goal of this proposal is to combine atomic layer deposition with plasma chemistry to create a novel surface-controlled, industry-compatible synthesis technique that will make large area 2D-TMDs, 2D-TMD alloys and 2D-TMD heterostructures a reality. This innovative approach will enable systematic layer dependent studies, likely revealing exciting new properties, and provide integration pathways for a multitude of applications.
Atomistic simulations will guide the process development and, together with in- and ex-situ analysis, increase the understanding of the surface chemistry involved. State-of-the-art high resolution transmission electron microscopy will be used to study the alloying process and the formation of heterostructures. Luminescence spectroscopy and electrical characterization will reveal the potential of the synthesized materials for (opto)-electronic applications.
The synergy between the excellent background of the PI in 2D materials for nanoelectronics and the group’s leading expertise in ALD and plasma science is unique and provides an ideal stepping stone to develop the synthesis of large-area 2D-TMDs and derivatives.
Summary
Two-dimensional transition metal dichalcogenides (2D-TMDs) are an exciting class of new materials. Their ultrathin body, optical band gap and unusual spin and valley polarization physics make them very promising candidates for a vast new range of (opto-)electronic applications. So far, most experimental work on 2D-TMDs has been performed on exfoliated flakes made by the ‘Scotch tape’ technique. The major next challenge is the large-area synthesis of 2D-TMDs by a technique that ultimately can be used for commercial device fabrication.
Building upon pure 2D-TMDs, even more functionalities can be gained from 2D-TMD alloys and heterostructures. Theoretical work on these derivates reveals exciting new phenomena, but experimentally this field is largely unexplored due to synthesis technique limitations.
The goal of this proposal is to combine atomic layer deposition with plasma chemistry to create a novel surface-controlled, industry-compatible synthesis technique that will make large area 2D-TMDs, 2D-TMD alloys and 2D-TMD heterostructures a reality. This innovative approach will enable systematic layer dependent studies, likely revealing exciting new properties, and provide integration pathways for a multitude of applications.
Atomistic simulations will guide the process development and, together with in- and ex-situ analysis, increase the understanding of the surface chemistry involved. State-of-the-art high resolution transmission electron microscopy will be used to study the alloying process and the formation of heterostructures. Luminescence spectroscopy and electrical characterization will reveal the potential of the synthesized materials for (opto)-electronic applications.
The synergy between the excellent background of the PI in 2D materials for nanoelectronics and the group’s leading expertise in ALD and plasma science is unique and provides an ideal stepping stone to develop the synthesis of large-area 2D-TMDs and derivatives.
Max ERC Funding
1 968 709 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym BIOINOHYB
Project Smart Bioinorganic Hybrids for Nanomedicine
Researcher (PI) Cristiana Di Valentin
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE5, ERC-2014-CoG
Summary The use of bioinorganic nanohybrids (nanoscaled systems based on an inorganic and a biological component) has already resulted in several innovative medical breakthroughs for drug delivery, therapeutics, imaging, diagnosis and biocompatibility. However, researchers still know relatively little about the structure, function and mechanism of these nanodevices. Theoretical investigations of bioinorganic interfaces are mostly limited to force-field approaches which cannot grasp the details of the physicochemical mechanisms. The BIOINOHYB project proposes to capitalize on recent massively parallelized codes to investigate bioinorganic nanohybrids by advanced quantum chemical methods. This approach will allow to master the chemical and electronic interplay between the bio and the inorganic components in the first part of the project, and the interaction of the hybrid systems with light in the second part. The ultimate goal is to provide the design principles for novel, unconventional assemblies with unprecedented functionalities and strong impact potential in nanomedicine.
More specifically, in this project the traditional metallic nanoparticle will be substituted by emerging semiconducting metal oxide nanostructures with photocatalytic or magnetic properties capable of opening totally new horizons in nanomedicine (e.g. photocatalytic therapy, a new class of contrast agents, magnetically guided drug delivery). Potentially efficient linkers will be screened regarding their ability both to anchor surfaces and to bind biomolecules. Different kinds of biomolecules (from oligopeptides and oligonucleotides to small drugs) will be tethered to the activated surface according to the desired functionality. The key computational challenge, requiring the recourse to more sophisticated methods, will be the investigation of the photo-response to light of the assembled bioinorganic systems, also with specific reference to their labelling with fluorescent markers and contrast agents.
Summary
The use of bioinorganic nanohybrids (nanoscaled systems based on an inorganic and a biological component) has already resulted in several innovative medical breakthroughs for drug delivery, therapeutics, imaging, diagnosis and biocompatibility. However, researchers still know relatively little about the structure, function and mechanism of these nanodevices. Theoretical investigations of bioinorganic interfaces are mostly limited to force-field approaches which cannot grasp the details of the physicochemical mechanisms. The BIOINOHYB project proposes to capitalize on recent massively parallelized codes to investigate bioinorganic nanohybrids by advanced quantum chemical methods. This approach will allow to master the chemical and electronic interplay between the bio and the inorganic components in the first part of the project, and the interaction of the hybrid systems with light in the second part. The ultimate goal is to provide the design principles for novel, unconventional assemblies with unprecedented functionalities and strong impact potential in nanomedicine.
More specifically, in this project the traditional metallic nanoparticle will be substituted by emerging semiconducting metal oxide nanostructures with photocatalytic or magnetic properties capable of opening totally new horizons in nanomedicine (e.g. photocatalytic therapy, a new class of contrast agents, magnetically guided drug delivery). Potentially efficient linkers will be screened regarding their ability both to anchor surfaces and to bind biomolecules. Different kinds of biomolecules (from oligopeptides and oligonucleotides to small drugs) will be tethered to the activated surface according to the desired functionality. The key computational challenge, requiring the recourse to more sophisticated methods, will be the investigation of the photo-response to light of the assembled bioinorganic systems, also with specific reference to their labelling with fluorescent markers and contrast agents.
Max ERC Funding
1 748 125 €
Duration
Start date: 2016-02-01, End date: 2021-01-31
Project acronym COMP-MICR-CROW-MEM
Project Computational Microscopy of Crowded Membranes
Researcher (PI) Siewert Jan Marrink
Host Institution (HI) RIJKSUNIVERSITEIT GRONINGEN
Call Details Advanced Grant (AdG), PE4, ERC-2014-ADG
Summary Cell membranes form a highly complex and heterogeneous mixture of membrane proteins and lipids. Understanding the protein-lipid interplay that gives rise to the lateral organisation principles of cell membranes is essential for life and health. Thus, investigations of these crowded membranes is emerging as a new and exceptionally exciting frontier at the crossroads of biology, life sciences, physics, and chemistry.
However, our current understanding of the detailed organisation of cellular membranes remains rather elusive. Characterisation of the structural heterogeneity in-vivo remains very challenging, owing to the lack of experimental methods suitable for studying these fluctuating nanoscale assemblies of lipids and proteins with the required spatio-temporal resolution. In recent years, computer simulations have become a unique investigatory tool for understanding the driving forces governing the lateral organisation of cellular membrane components and this “computational microscopy” has become indispensible as a complement to traditional microscopy methods.
In this ERC project I will, using advanced computational microscopy, study the interaction of lipids and proteins in complex, crowded, membrane patches, to enable the driving forces of membrane protein sorting and clustering to be unravelled at conditions closely mimicking real cellular membranes. The specific objectives are:
• To develop a novel computational microscopy framework for simulating biomolecular processes at multiple resolutions.
• To use this new computational microscopy framework to investigate the driving forces of membrane protein sorting and clustering.
• To provide a molecular view of realistic, crowded, biological membranes composed of hundreds of different lipids and proteins.
The outcomes will enable subsequent studies of many different types of cell membranes based on forthcoming lipidomics studies and progress in structural characterisation of membrane proteins.
Summary
Cell membranes form a highly complex and heterogeneous mixture of membrane proteins and lipids. Understanding the protein-lipid interplay that gives rise to the lateral organisation principles of cell membranes is essential for life and health. Thus, investigations of these crowded membranes is emerging as a new and exceptionally exciting frontier at the crossroads of biology, life sciences, physics, and chemistry.
However, our current understanding of the detailed organisation of cellular membranes remains rather elusive. Characterisation of the structural heterogeneity in-vivo remains very challenging, owing to the lack of experimental methods suitable for studying these fluctuating nanoscale assemblies of lipids and proteins with the required spatio-temporal resolution. In recent years, computer simulations have become a unique investigatory tool for understanding the driving forces governing the lateral organisation of cellular membrane components and this “computational microscopy” has become indispensible as a complement to traditional microscopy methods.
In this ERC project I will, using advanced computational microscopy, study the interaction of lipids and proteins in complex, crowded, membrane patches, to enable the driving forces of membrane protein sorting and clustering to be unravelled at conditions closely mimicking real cellular membranes. The specific objectives are:
• To develop a novel computational microscopy framework for simulating biomolecular processes at multiple resolutions.
• To use this new computational microscopy framework to investigate the driving forces of membrane protein sorting and clustering.
• To provide a molecular view of realistic, crowded, biological membranes composed of hundreds of different lipids and proteins.
The outcomes will enable subsequent studies of many different types of cell membranes based on forthcoming lipidomics studies and progress in structural characterisation of membrane proteins.
Max ERC Funding
2 396 585 €
Duration
Start date: 2015-11-01, End date: 2020-10-31
Project acronym corr-DFT
Project Improving the accuracy and reliability of electronic structure calculations: New exchange-correlation functionals from a rigorous expansion at infinite coupling strength
Researcher (PI) Paola Gori-Giorgi
Host Institution (HI) STICHTING VU
Call Details Consolidator Grant (CoG), PE4, ERC-2014-CoG
Summary By virtue of its computational efficiency, Kohn-Sham (KS) density functional theory (DFT) is the method of choice for the electronic structure calculations in computational chemistry and solid-state physics. Despite its enormous successes, KS DFT’s predictive power and overall usefulness are still hampered by inadequate approximations for near-degenerate and strongly-correlated systems. Crucial examples are transition metal complexes (key for catalysis), stretched chemical bonds (key to predict chemical reactions), technologically advanced functional materials, and manmade nanostructures.
I aim to address these fundamental issues, by constructing a novel framework for electronic structure calculations at all correlation regimes. This new approach is based on recent formal developments from my group, which reproduce key features of strong correlation within KS DFT, without any artificial symmetry breaking. My results on the exact infinite-coupling-strength expansion of KS DFT will be used to endow that theory with many-body properties from the ground up, thereby removing its intrinsic bias for weak correlation regimes.
This requires novel combinations of ideas from three research communities: chemists and physicists that develop approximations for KS DFT, condensed matter physicists that work on strongly-correlated systems using lattice hamiltonians, and mathematicians working on mass transportation theory. The strong-correlation limit of DFT enables these links by defining a natural framework for extending lattice-based results to the real space continuum. On the other hand, this limit has a mathematical structure formally equivalent to the optimal transport problem of mathematics, enabling adaptation of methods and algorithms.
The new approximations will be implemented with the assistance of an industrial partner and validated on representative benchmark chemical and physical systems.
Summary
By virtue of its computational efficiency, Kohn-Sham (KS) density functional theory (DFT) is the method of choice for the electronic structure calculations in computational chemistry and solid-state physics. Despite its enormous successes, KS DFT’s predictive power and overall usefulness are still hampered by inadequate approximations for near-degenerate and strongly-correlated systems. Crucial examples are transition metal complexes (key for catalysis), stretched chemical bonds (key to predict chemical reactions), technologically advanced functional materials, and manmade nanostructures.
I aim to address these fundamental issues, by constructing a novel framework for electronic structure calculations at all correlation regimes. This new approach is based on recent formal developments from my group, which reproduce key features of strong correlation within KS DFT, without any artificial symmetry breaking. My results on the exact infinite-coupling-strength expansion of KS DFT will be used to endow that theory with many-body properties from the ground up, thereby removing its intrinsic bias for weak correlation regimes.
This requires novel combinations of ideas from three research communities: chemists and physicists that develop approximations for KS DFT, condensed matter physicists that work on strongly-correlated systems using lattice hamiltonians, and mathematicians working on mass transportation theory. The strong-correlation limit of DFT enables these links by defining a natural framework for extending lattice-based results to the real space continuum. On the other hand, this limit has a mathematical structure formally equivalent to the optimal transport problem of mathematics, enabling adaptation of methods and algorithms.
The new approximations will be implemented with the assistance of an industrial partner and validated on representative benchmark chemical and physical systems.
Max ERC Funding
1 999 891 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym Crosstag
Project Unravelling cross-presentation pathways using a chemical biology approach
Researcher (PI) Sander Van kasteren
Host Institution (HI) UNIVERSITEIT LEIDEN
Call Details Starting Grant (StG), PE5, ERC-2014-STG
Summary Immune therapies are therefore currently being pursued to reinvigorate the immune reaction against tumours. This is not trivial, as the right type of immune cells must be activated against a tumour-specific antigen. One method to achieve this is by targeting tumour antigens to certain cross-presentation-promoting receptors on antigen presenting cells. The most intriguing of these is the mannose receptor (MR) as the method by which it does this is unknown.
This glycoprotein-binding receptor appears to have two functions on APCs: general uptake-enhancement and, in certain isolated cases, cross-presentation-enhancment. What ligand parameters are important in causing cross-presentation enhancement is not known. Current tools, such as anti-MR antibodies and randomly glycosylated ligands fail to selectively enhance cross-presentation. The main aim of this proposal is to determine what structural parameters of the glycoprotein antigen result in enhanced cross-presentation upon MR-ligation.
I will synthesise a library of biologically traceable single glycoform ligands - with controlled variation in glycan nature, stoichiometry and positioning - for the MR and study differences in uptake, routing and antigen presentation.
A 2nd aim is to uncover what happens to the antigen after uptake by the MR. I.e. whether changes in antigen routing and proteolysis are responsible for enhanced cross presentation of different glycoforms. A 3rd aim is to develop a new method to study the kinetics of surface appearance of epitopes without T-cell reagents to quantify differences between glycoforms.
With this approach I aim to gain new insight into methods for enhancing cross-presentation resulting in improved immune therapies against cancer. My background in carbohydrate and protein modification chemistry will provide the toolkit to synthesise the relevant reagents and my background in immunology will ensure the successful immunological validation of the synthetic single glycoforms.
Summary
Immune therapies are therefore currently being pursued to reinvigorate the immune reaction against tumours. This is not trivial, as the right type of immune cells must be activated against a tumour-specific antigen. One method to achieve this is by targeting tumour antigens to certain cross-presentation-promoting receptors on antigen presenting cells. The most intriguing of these is the mannose receptor (MR) as the method by which it does this is unknown.
This glycoprotein-binding receptor appears to have two functions on APCs: general uptake-enhancement and, in certain isolated cases, cross-presentation-enhancment. What ligand parameters are important in causing cross-presentation enhancement is not known. Current tools, such as anti-MR antibodies and randomly glycosylated ligands fail to selectively enhance cross-presentation. The main aim of this proposal is to determine what structural parameters of the glycoprotein antigen result in enhanced cross-presentation upon MR-ligation.
I will synthesise a library of biologically traceable single glycoform ligands - with controlled variation in glycan nature, stoichiometry and positioning - for the MR and study differences in uptake, routing and antigen presentation.
A 2nd aim is to uncover what happens to the antigen after uptake by the MR. I.e. whether changes in antigen routing and proteolysis are responsible for enhanced cross presentation of different glycoforms. A 3rd aim is to develop a new method to study the kinetics of surface appearance of epitopes without T-cell reagents to quantify differences between glycoforms.
With this approach I aim to gain new insight into methods for enhancing cross-presentation resulting in improved immune therapies against cancer. My background in carbohydrate and protein modification chemistry will provide the toolkit to synthesise the relevant reagents and my background in immunology will ensure the successful immunological validation of the synthetic single glycoforms.
Max ERC Funding
1 500 000 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym CSINEUTRONSTAR
Project The physics and forensics of neutron star explosions
Researcher (PI) Anna Louise Watts
Host Institution (HI) UNIVERSITEIT VAN AMSTERDAM
Call Details Starting Grant (StG), PE9, ERC-2014-STG
Summary Neutron stars offer a unique environment in which to develop and test theories of the strong force. Densities in neutron star cores can reach up to ten times the density of a normal atomic nucleus, and the stabilizing effect of gravitational confinement permits long-timescale weak interactions. This generates matter that is neutron-rich, and opens up the possibility of stable states of strange matter, something that can only exist in neutron stars. Strong force physics is encoded in the Equation of State (EOS), the pressure-density relation. This is linked to macroscopic observables such as mass M and radius R via the stellar structure equations. By measuring and inverting the M-R relation we can recover the EOS and diagnose the underlying dense matter physics.
This proposal focuses on a very promising technique for simultaneous measurement of M and R. It exploits hotspots (burst oscillations) that form on the neutron star surface when material accreted from a companion star undergoes a thermonuclear explosion (a Type I X-ray burst). As the star rotates, the hotspot gives rise to a pulsation. Relativistic effects then encode information about M and R into the pulse profile. However the mechanism that generates burst oscillations remains unknown, 18 years after their discovery. This is frustrating in terms of our understanding of thermonuclear bursts. It also leads to uncertainties in the precise form of the underlying surface emission pattern (a key factor in the pulse profile fitting process), which must be addressed to cement their reliability as diagnostics of M and R.
This proposal has two objectives. Firstly, to resolve the burst oscillation mechanism via an ambitious programme of theoretical and observational analysis. Secondly, to ensure that burst oscillations are a robust tool for measurement of M and R by determining the effect of the surface pattern uncertainty on pulse profile fitting, independent of efforts to constrain the mechanism.
Summary
Neutron stars offer a unique environment in which to develop and test theories of the strong force. Densities in neutron star cores can reach up to ten times the density of a normal atomic nucleus, and the stabilizing effect of gravitational confinement permits long-timescale weak interactions. This generates matter that is neutron-rich, and opens up the possibility of stable states of strange matter, something that can only exist in neutron stars. Strong force physics is encoded in the Equation of State (EOS), the pressure-density relation. This is linked to macroscopic observables such as mass M and radius R via the stellar structure equations. By measuring and inverting the M-R relation we can recover the EOS and diagnose the underlying dense matter physics.
This proposal focuses on a very promising technique for simultaneous measurement of M and R. It exploits hotspots (burst oscillations) that form on the neutron star surface when material accreted from a companion star undergoes a thermonuclear explosion (a Type I X-ray burst). As the star rotates, the hotspot gives rise to a pulsation. Relativistic effects then encode information about M and R into the pulse profile. However the mechanism that generates burst oscillations remains unknown, 18 years after their discovery. This is frustrating in terms of our understanding of thermonuclear bursts. It also leads to uncertainties in the precise form of the underlying surface emission pattern (a key factor in the pulse profile fitting process), which must be addressed to cement their reliability as diagnostics of M and R.
This proposal has two objectives. Firstly, to resolve the burst oscillation mechanism via an ambitious programme of theoretical and observational analysis. Secondly, to ensure that burst oscillations are a robust tool for measurement of M and R by determining the effect of the surface pattern uncertainty on pulse profile fitting, independent of efforts to constrain the mechanism.
Max ERC Funding
1 499 999 €
Duration
Start date: 2015-06-01, End date: 2020-05-31
Project acronym Cu4Energy
Project Biomimetic Copper Complexes for Energy Conversion Reactions
Researcher (PI) Dennis Gerardus Hendrikus Hetterscheid
Host Institution (HI) UNIVERSITEIT LEIDEN
Call Details Starting Grant (StG), PE4, ERC-2014-STG
Summary Water oxidation (WO) and oxygen reduction (OR) are crucial reactions to produce and to consume solar fuels. It is important that WO and OR occur with very high catalytic rates with only a very small thermodynamic driving force (i.e. a small overpotential). In these terms, natural catalysts perform significantly better than the artificial systems. Especially the copper enzyme Laccase operates fast at a low overpotential. In principle one could use the same design principles used in the enzymatic systems to produce artificial catalysts for OR and WO. It is envisioned that for the most ideal OR and WO catalysts:
1. All redox reactions within the catalytic cycle should occur as close as possible to the thermodynamic potential where OR and WO become accessible.
2. Equilibria that are not coupled to redox reactions need to be biased for product formation.
3. Proton shuttles are necessary to manage proton transfer concerted with electron-transfer and electron-transfer coupled to O–O bond cleavage or O–O bond formation.
In this proposal molecular copper catalysts for OR and WO are studied by means of a combined electrochemical and computational approach, taking in account the design principles above. Experiments will be carried out wherein the structure of the catalyst is linked to the observed catalytic activity and the potential energy surface of the catalytic cycle. The proposal is in particular focused on the rate-determining step of the catalytic reaction, as improvements here will directly lead to enhanced catalytic rates. A functional model system of Laccase will be designed to study the rate limiting proton-and-electron-coupled O–O bond scission reaction, which is the rate limiting step in OR by Laccase.
The aim of the proposal is to significantly increase of fundamental understanding of the design principles for molecular OR and WO catalysts and to deliver new and very active molecular copper catalysts for OR and WO at the end of the project.
Summary
Water oxidation (WO) and oxygen reduction (OR) are crucial reactions to produce and to consume solar fuels. It is important that WO and OR occur with very high catalytic rates with only a very small thermodynamic driving force (i.e. a small overpotential). In these terms, natural catalysts perform significantly better than the artificial systems. Especially the copper enzyme Laccase operates fast at a low overpotential. In principle one could use the same design principles used in the enzymatic systems to produce artificial catalysts for OR and WO. It is envisioned that for the most ideal OR and WO catalysts:
1. All redox reactions within the catalytic cycle should occur as close as possible to the thermodynamic potential where OR and WO become accessible.
2. Equilibria that are not coupled to redox reactions need to be biased for product formation.
3. Proton shuttles are necessary to manage proton transfer concerted with electron-transfer and electron-transfer coupled to O–O bond cleavage or O–O bond formation.
In this proposal molecular copper catalysts for OR and WO are studied by means of a combined electrochemical and computational approach, taking in account the design principles above. Experiments will be carried out wherein the structure of the catalyst is linked to the observed catalytic activity and the potential energy surface of the catalytic cycle. The proposal is in particular focused on the rate-determining step of the catalytic reaction, as improvements here will directly lead to enhanced catalytic rates. A functional model system of Laccase will be designed to study the rate limiting proton-and-electron-coupled O–O bond scission reaction, which is the rate limiting step in OR by Laccase.
The aim of the proposal is to significantly increase of fundamental understanding of the design principles for molecular OR and WO catalysts and to deliver new and very active molecular copper catalysts for OR and WO at the end of the project.
Max ERC Funding
1 500 000 €
Duration
Start date: 2015-05-01, End date: 2020-04-30
Project acronym ICONICAL
Project In control of exciton and charge dynamics in molecular crystals
Researcher (PI) Ferdinand Cornelius Grozema
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Call Details Consolidator Grant (CoG), PE4, ERC-2014-CoG
Summary The aim of the work proposed here is to achieve control over charge and excited state dynamics in organic crystalline materials and in this way to come to solid state materials with explicit built-in functionality. The charge and excited state dynamics do not only depend on the properties of individual molecules but are to a large extent determined by the interactions between multiple molecules. By careful engineering of the properties of individual molecules and of the way they aggregate in the solid crystalline state it is in principle possible to design materials that exhibit a specific functionality. Examples of this are materials that are optimized to give high charge carrier mobilities and high exciton diffusion coefficients. It is also possible to design more complex functionality. An example of this is singlet exciton fission, a process by which one singlet excited state transforms into a combination of two triplet states. This spin-allowed process can in principle increase the efficiency of organic solar cells by a factor 1.5. A second example is upconversion of low energy photons into higher energy photons. This is possible by combining two low-energy triplet excited states into a single singlet excited state by triplet-triplet annihilation. Finally, it is possible gain control over charge separation on the interface of two different materials to increase the charge separation efficiency in photovoltaic cells.
In this work, we will explore ways to achieve control of charge and exciton dynamics in a combined effort including organic synthesis, computational chemistry and time-resolved spectroscopy and conductivity experiments. This research represents a major step forward in the understanding of the relation between molecular and solid state structure and the electronic properties of organic crystalline materials. This is of considerable fundamental interest but also has direct implications for the utilization of these materials in electronic devices.
Summary
The aim of the work proposed here is to achieve control over charge and excited state dynamics in organic crystalline materials and in this way to come to solid state materials with explicit built-in functionality. The charge and excited state dynamics do not only depend on the properties of individual molecules but are to a large extent determined by the interactions between multiple molecules. By careful engineering of the properties of individual molecules and of the way they aggregate in the solid crystalline state it is in principle possible to design materials that exhibit a specific functionality. Examples of this are materials that are optimized to give high charge carrier mobilities and high exciton diffusion coefficients. It is also possible to design more complex functionality. An example of this is singlet exciton fission, a process by which one singlet excited state transforms into a combination of two triplet states. This spin-allowed process can in principle increase the efficiency of organic solar cells by a factor 1.5. A second example is upconversion of low energy photons into higher energy photons. This is possible by combining two low-energy triplet excited states into a single singlet excited state by triplet-triplet annihilation. Finally, it is possible gain control over charge separation on the interface of two different materials to increase the charge separation efficiency in photovoltaic cells.
In this work, we will explore ways to achieve control of charge and exciton dynamics in a combined effort including organic synthesis, computational chemistry and time-resolved spectroscopy and conductivity experiments. This research represents a major step forward in the understanding of the relation between molecular and solid state structure and the electronic properties of organic crystalline materials. This is of considerable fundamental interest but also has direct implications for the utilization of these materials in electronic devices.
Max ERC Funding
2 000 000 €
Duration
Start date: 2015-06-01, End date: 2020-05-31
