Project acronym ATOMICAR
Project ATOMic Insight Cavity Array Reactor
Researcher (PI) Peter Christian Kjærgaard VESBORG
Host Institution (HI) DANMARKS TEKNISKE UNIVERSITET
Call Details Starting Grant (StG), PE4, ERC-2017-STG
Summary The goal of ATOMICAR is to achieve the ultimate sensitivity limit in heterogeneous catalysis:
Quantitative measurement of chemical turnover on a single catalytic nanoparticle.
Most heterogeneous catalysis occurs on metal nanoparticle in the size range of 3 nm - 10 nm. Model studies have established that there is often a strong coupling between nanoparticle size & shape - and catalytic activity. The strong structure-activity coupling renders it probable that “super-active” nanoparticles exist. However, since there is no way to measure catalytic activity of less than ca 1 million nanoparticles at a time, any super-activity will always be hidden by “ensemble smearing” since one million nanoparticles of exactly identical size and shape cannot be made. The state-of-the-art in catalysis benchmarking is microfabricated flow reactors with mass-spectrometric detection, but the sensitivity of this approach cannot be incrementally improved by six orders of magnitude. This calls for a new measurement paradigm where the activity of a single nanoparticle can be benchmarked – the ultimate limit for catalytic measurement.
A tiny batch reactor is the solution, but there are three key problems: How to seal it; how to track catalytic turnover inside it; and how to see the nanoparticle inside it? Graphene solves all three problems: A microfabricated cavity with a thin SixNy bottom window, a single catalytic nanoparticle inside, and a graphene seal forms a gas tight batch reactor since graphene has zero gas permeability. Catalysis is then tracked as an internal pressure change via the stress & deflection of the graphene seal. Crucially, the electron-transparency of graphene and SixNy enables subsequent transmission electron microscope access with atomic resolution so that active nanoparticles can be studied in full detail.
ATOMICAR will re-define the experimental limits of catalyst benchmarking and lift the field of basic catalysis research into the single-nanoparticle age.
Summary
The goal of ATOMICAR is to achieve the ultimate sensitivity limit in heterogeneous catalysis:
Quantitative measurement of chemical turnover on a single catalytic nanoparticle.
Most heterogeneous catalysis occurs on metal nanoparticle in the size range of 3 nm - 10 nm. Model studies have established that there is often a strong coupling between nanoparticle size & shape - and catalytic activity. The strong structure-activity coupling renders it probable that “super-active” nanoparticles exist. However, since there is no way to measure catalytic activity of less than ca 1 million nanoparticles at a time, any super-activity will always be hidden by “ensemble smearing” since one million nanoparticles of exactly identical size and shape cannot be made. The state-of-the-art in catalysis benchmarking is microfabricated flow reactors with mass-spectrometric detection, but the sensitivity of this approach cannot be incrementally improved by six orders of magnitude. This calls for a new measurement paradigm where the activity of a single nanoparticle can be benchmarked – the ultimate limit for catalytic measurement.
A tiny batch reactor is the solution, but there are three key problems: How to seal it; how to track catalytic turnover inside it; and how to see the nanoparticle inside it? Graphene solves all three problems: A microfabricated cavity with a thin SixNy bottom window, a single catalytic nanoparticle inside, and a graphene seal forms a gas tight batch reactor since graphene has zero gas permeability. Catalysis is then tracked as an internal pressure change via the stress & deflection of the graphene seal. Crucially, the electron-transparency of graphene and SixNy enables subsequent transmission electron microscope access with atomic resolution so that active nanoparticles can be studied in full detail.
ATOMICAR will re-define the experimental limits of catalyst benchmarking and lift the field of basic catalysis research into the single-nanoparticle age.
Max ERC Funding
1 496 000 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym ATTOSCOPE
Project Measuring attosecond electron dynamics in molecules
Researcher (PI) Hans Jakob Wörner
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE4, ERC-2012-StG_20111012
Summary "The goal of the present proposal is to realize measurements of electronic dynamics in polyatomic
molecules with attosecond temporal resolution (1 as = 10^-18s). We propose to study electronic
rearrangements following photoexcitation, charge migration in a molecular chain induced by
ionization and non-adiabatic multi-electron dynamics in an intense laser field. The grand question
addressed by this research is the characterization of electron correlations which control the shape, properties and function of molecules. In all three proposed projects, a time-domain approach appears to be the most suitable since it reduces complex molecular dynamics to the purely electronic dynamics by exploiting the hierarchy of motional time scales. Experimentally, we propose to realize an innovative experimental setup. A few-cycle infrared (IR) pulse will be used to generate attosecond pulses in the extreme-ultraviolet (XUV) by high-harmonic generation. The IR pulse will be separated from the XUV by means of an innovative interferometer. Additionally, it will permit the introduction of a controlled attosecond delay between the two pulses. We propose to use the attosecond pulses as a tool to look inside individual IR- or UV-field cycles to better understand light-matter interactions. Time-resolved pump-probe experiments will be carried out on polyatomic molecules by detecting the energy and angular distribution of photoelectrons in a velocity-map imaging spectrometer. These experiments are expected to provide new insights
into the dynamics of multi-electron systems along with new results for the validation and
improvement of theoretical models. Multi-electron dynamics is indeed a very complex subject
on its own and even more so in the presence of strong laser fields. The proposed experiments
directly address theses challenges and are expected to provide new insights that will be beneficial to a wide range of scientific research areas."
Summary
"The goal of the present proposal is to realize measurements of electronic dynamics in polyatomic
molecules with attosecond temporal resolution (1 as = 10^-18s). We propose to study electronic
rearrangements following photoexcitation, charge migration in a molecular chain induced by
ionization and non-adiabatic multi-electron dynamics in an intense laser field. The grand question
addressed by this research is the characterization of electron correlations which control the shape, properties and function of molecules. In all three proposed projects, a time-domain approach appears to be the most suitable since it reduces complex molecular dynamics to the purely electronic dynamics by exploiting the hierarchy of motional time scales. Experimentally, we propose to realize an innovative experimental setup. A few-cycle infrared (IR) pulse will be used to generate attosecond pulses in the extreme-ultraviolet (XUV) by high-harmonic generation. The IR pulse will be separated from the XUV by means of an innovative interferometer. Additionally, it will permit the introduction of a controlled attosecond delay between the two pulses. We propose to use the attosecond pulses as a tool to look inside individual IR- or UV-field cycles to better understand light-matter interactions. Time-resolved pump-probe experiments will be carried out on polyatomic molecules by detecting the energy and angular distribution of photoelectrons in a velocity-map imaging spectrometer. These experiments are expected to provide new insights
into the dynamics of multi-electron systems along with new results for the validation and
improvement of theoretical models. Multi-electron dynamics is indeed a very complex subject
on its own and even more so in the presence of strong laser fields. The proposed experiments
directly address theses challenges and are expected to provide new insights that will be beneficial to a wide range of scientific research areas."
Max ERC Funding
1 999 992 €
Duration
Start date: 2012-09-01, End date: 2017-08-31
Project acronym BIVAQUM
Project Bivariational Approximations in Quantum Mechanics and Applications to Quantum Chemistry
Researcher (PI) Simen Kvaal
Host Institution (HI) UNIVERSITETET I OSLO
Call Details Starting Grant (StG), PE4, ERC-2014-STG
Summary The standard variational principles (VPs) are cornerstones of quantum mechanics, and one can hardly overestimate their usefulness as tools for generating approximations to the time-independent and
time-dependent Schröodinger equations. The aim of the proposal is to study and apply a generalization of these, the bivariational principles (BIVPs), which arise naturally when one does not assume a priori that the system Hamiltonian is Hermitian. This unconventional approach may have transformative impact on development of ab initio methodology, both for electronic structure and dynamics.
The first objective is to establish the mathematical foundation for the BIVPs. This opens up a whole new axis of method development for ab initio approaches. For instance, it is a largely ignored fact that the popular traditional coupled cluster (TCC) method can be neatly formulated with the BIVPs, and TCC is both polynomially scaling with the number of electrons and size-consistent. No “variational” method enjoys these properties simultaneously, indeed this seems to be incompatible with the standard VPs.
Armed with the BIVPs, the project aims to develop new and understand existing ab initio methods. The second objective is thus a systematic multireference coupled cluster theory (MRCC) based on the BIVPs. This
is in itself a novel approach that carries large potential benefits and impact. The third and last objective is an implementation of a new coupled-cluster type method where the orbitals are bivariational
parameters. This gives a size-consistent hierarchy of approximations to multiconfiguration
Hartree--Fock.
The PI's broad contact with and background in scientific disciplines such as applied mathematics and nuclear physics in addition to quantum chemistry increases the feasibility of the project.
Summary
The standard variational principles (VPs) are cornerstones of quantum mechanics, and one can hardly overestimate their usefulness as tools for generating approximations to the time-independent and
time-dependent Schröodinger equations. The aim of the proposal is to study and apply a generalization of these, the bivariational principles (BIVPs), which arise naturally when one does not assume a priori that the system Hamiltonian is Hermitian. This unconventional approach may have transformative impact on development of ab initio methodology, both for electronic structure and dynamics.
The first objective is to establish the mathematical foundation for the BIVPs. This opens up a whole new axis of method development for ab initio approaches. For instance, it is a largely ignored fact that the popular traditional coupled cluster (TCC) method can be neatly formulated with the BIVPs, and TCC is both polynomially scaling with the number of electrons and size-consistent. No “variational” method enjoys these properties simultaneously, indeed this seems to be incompatible with the standard VPs.
Armed with the BIVPs, the project aims to develop new and understand existing ab initio methods. The second objective is thus a systematic multireference coupled cluster theory (MRCC) based on the BIVPs. This
is in itself a novel approach that carries large potential benefits and impact. The third and last objective is an implementation of a new coupled-cluster type method where the orbitals are bivariational
parameters. This gives a size-consistent hierarchy of approximations to multiconfiguration
Hartree--Fock.
The PI's broad contact with and background in scientific disciplines such as applied mathematics and nuclear physics in addition to quantum chemistry increases the feasibility of the project.
Max ERC Funding
1 499 572 €
Duration
Start date: 2015-04-01, End date: 2020-03-31
Project acronym CHEMHEAT
Project Chemical Control of Heating and Cooling in Molecular Junctions: Optimizing Function and Stability
Researcher (PI) Gemma Solomon
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Starting Grant (StG), PE4, ERC-2010-StG_20091028
Summary Nanoscale systems binding single molecules, or small numbers of molecules, in conducting junctions show considerable promise for a range of technological applications, from photovoltaics to rectifiers to sensors. These environments differ significantly from the traditional domain of chemical studies involving molecules in solution and the gas phase, necessitating renewed efforts to understand the physical properties of these systems. The objective of this proposal concerns one particular class of physical processes: understanding and controlling local heating in molecular junctions in terms of excitation, dissipation and transfer.
Local heating and dissipation in molecular junctions has long been a concern due to the possibly detrimental impact on device stability and function. More recently there has been increased interest, as these processes underlie both spectroscopic techniques and potential technological applications. Together these issues make an investigation of ways to chemically control local heating in molecular junctions timely and important.
The proposal objective will be addressed through the investigation of three challenges:
- Developing chemical control of local heating in molecular junctions.
- Developing chemical control of heat dissipation in molecular junctions.
- Design of optimal thermoelectric materials.
These three challenges constitute distinct, yet complementary, avenues for investigation with progress in each area supporting the other two. All three challenges build on existing theoretical methods, with the important shift of focus to methods to achieve chemical control. The combination of state-of-the-art computational methods with careful chemical studies promises significant new developments for the area.
Summary
Nanoscale systems binding single molecules, or small numbers of molecules, in conducting junctions show considerable promise for a range of technological applications, from photovoltaics to rectifiers to sensors. These environments differ significantly from the traditional domain of chemical studies involving molecules in solution and the gas phase, necessitating renewed efforts to understand the physical properties of these systems. The objective of this proposal concerns one particular class of physical processes: understanding and controlling local heating in molecular junctions in terms of excitation, dissipation and transfer.
Local heating and dissipation in molecular junctions has long been a concern due to the possibly detrimental impact on device stability and function. More recently there has been increased interest, as these processes underlie both spectroscopic techniques and potential technological applications. Together these issues make an investigation of ways to chemically control local heating in molecular junctions timely and important.
The proposal objective will be addressed through the investigation of three challenges:
- Developing chemical control of local heating in molecular junctions.
- Developing chemical control of heat dissipation in molecular junctions.
- Design of optimal thermoelectric materials.
These three challenges constitute distinct, yet complementary, avenues for investigation with progress in each area supporting the other two. All three challenges build on existing theoretical methods, with the important shift of focus to methods to achieve chemical control. The combination of state-of-the-art computational methods with careful chemical studies promises significant new developments for the area.
Max ERC Funding
1 499 999 €
Duration
Start date: 2010-12-01, End date: 2015-11-30
Project acronym comporel
Project Large-Scale Computational Screening and Design of Highly-ordered pi-conjugated Molecular Precursors to Organic Electronic
Researcher (PI) Anne-Clemence Corminboeuf
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2012-StG_20111012
Summary The field of electronics has been a veritable powerhouse of the economy, driving technological breakthroughs that affect all aspects of everyday life. Aside from silicon, there has been growing interest in developing a novel generation of electronic devices based on pi-conjugated polymers and oligomers. While their goal is not to exceed the performance of silicon technologies, they could enable far reduced fabrication costs as well as completely new functionalities (e.g. mechanical flexibility, transparency, impact resistance). The performance of these organic devices is greatly dependent on the organization and electronic structures of π-conjugated polymer chains at the molecular level. To achieve full potential, technological developments require fine-tuning of the relative orientation/position of the pi-conjugated moieties, which provide a practical means to enhance electronic properties. The discovery pace of novel materials can be accelerated considerably by the development of efficient computational schemes. This requires an integrated approach, based on which the structural, electronic, and charge transport properties of novel molecular candidates are evaluated computationally and predictions benchmarked by proof of principle experiments. This research program aims at developing a threefold computational screening strategy enabling the design of an emerging class of molecular precursors based on the insertion of π-conjugated molecules into self-assembled hydrogen bond aggregator segments (e.g. oligopeptide, nucleotide and carbohydrate motifs). These bioinspired functionalized pi-conjugated systems offer the highly desirable prospect of achieving ordered suprastructures abundant in nature with the enhanced functionalities only observed in synthetic polymers. A more holistic objective is to definitively establish the relationship between highly ordered architectures and the nature of the electronic interactions and charge transfer properties in the assemblies.
Summary
The field of electronics has been a veritable powerhouse of the economy, driving technological breakthroughs that affect all aspects of everyday life. Aside from silicon, there has been growing interest in developing a novel generation of electronic devices based on pi-conjugated polymers and oligomers. While their goal is not to exceed the performance of silicon technologies, they could enable far reduced fabrication costs as well as completely new functionalities (e.g. mechanical flexibility, transparency, impact resistance). The performance of these organic devices is greatly dependent on the organization and electronic structures of π-conjugated polymer chains at the molecular level. To achieve full potential, technological developments require fine-tuning of the relative orientation/position of the pi-conjugated moieties, which provide a practical means to enhance electronic properties. The discovery pace of novel materials can be accelerated considerably by the development of efficient computational schemes. This requires an integrated approach, based on which the structural, electronic, and charge transport properties of novel molecular candidates are evaluated computationally and predictions benchmarked by proof of principle experiments. This research program aims at developing a threefold computational screening strategy enabling the design of an emerging class of molecular precursors based on the insertion of π-conjugated molecules into self-assembled hydrogen bond aggregator segments (e.g. oligopeptide, nucleotide and carbohydrate motifs). These bioinspired functionalized pi-conjugated systems offer the highly desirable prospect of achieving ordered suprastructures abundant in nature with the enhanced functionalities only observed in synthetic polymers. A more holistic objective is to definitively establish the relationship between highly ordered architectures and the nature of the electronic interactions and charge transfer properties in the assemblies.
Max ERC Funding
1 482 240 €
Duration
Start date: 2012-12-01, End date: 2017-11-30
Project acronym DIAMOND
Project Discovery and Insight with Advanced Models Of Nanoscale Dimensions
Researcher (PI) Joost Herman Bert Vandevondele
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary Generating knowledge about new materials and obtaining insight in their properties at the nanoscale level are highly relevant to the scientific objectives of the EU. Here, I propose to advance the current state of the art in atomistic modeling of complex systems. I aim at providing and establishing new tools that will allow for the description of large multi-component/multi-phase systems at experimental temperature and pressure with predictive power and controlled error. Generality and ease of use will be key. Building upon my experience, I have identified two clear needs that I will address. One need is a capable implementation, i.e. suitable for large condensed phase systems, of electronic structure theories that go beyond traditional DFT. Powerful linear scaling methods with excess accuracy are essential to validate, on the complex systems themselves, the use of DFT. The second need is an automatic approach for extracting empirical models from raw electronic structure data. Empirical methods are essential to perform simulations that are multiscale in time, space, and accuracy. This automatic approach must be able to generate models beyond the intuition and patience of an individual scientist using advanced optimization methods such as genetic algorithms or neural networks. Models must have a built-in estimate of their quality. The latter feature will allow for enhancing/correcting these empirical approaches automatically with first principles calculations whenever necessary. Massively parallel computing will be the enabling technology. In line with my track record, I will establish these new methods by demonstrating their potential through challenging applications. Example applications will be in diverse fields, including sustainable energy production, catalysis, environment and health. By making these tools freely and openly available to both academia and industry the benefit for the community as a whole will be significant.
Summary
Generating knowledge about new materials and obtaining insight in their properties at the nanoscale level are highly relevant to the scientific objectives of the EU. Here, I propose to advance the current state of the art in atomistic modeling of complex systems. I aim at providing and establishing new tools that will allow for the description of large multi-component/multi-phase systems at experimental temperature and pressure with predictive power and controlled error. Generality and ease of use will be key. Building upon my experience, I have identified two clear needs that I will address. One need is a capable implementation, i.e. suitable for large condensed phase systems, of electronic structure theories that go beyond traditional DFT. Powerful linear scaling methods with excess accuracy are essential to validate, on the complex systems themselves, the use of DFT. The second need is an automatic approach for extracting empirical models from raw electronic structure data. Empirical methods are essential to perform simulations that are multiscale in time, space, and accuracy. This automatic approach must be able to generate models beyond the intuition and patience of an individual scientist using advanced optimization methods such as genetic algorithms or neural networks. Models must have a built-in estimate of their quality. The latter feature will allow for enhancing/correcting these empirical approaches automatically with first principles calculations whenever necessary. Massively parallel computing will be the enabling technology. In line with my track record, I will establish these new methods by demonstrating their potential through challenging applications. Example applications will be in diverse fields, including sustainable energy production, catalysis, environment and health. By making these tools freely and openly available to both academia and industry the benefit for the community as a whole will be significant.
Max ERC Funding
1 728 576 €
Duration
Start date: 2011-11-01, End date: 2016-10-31
Project acronym FUNCTIONALDYNA
Project Investigating Functional Dynamics in Proteins by Novel Multidimensional Optical Spectroscopies in the Ultraviolet
Researcher (PI) Andrea Cannizzo
Host Institution (HI) UNIVERSITAET BERN
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary Proteins perform their biological function following specific sequences of events. During these dynamical paths, highly non-trivial cooperative interactions occur. Ultimately, this is the origin of the emerging collective behavior that makes proteins the most sophisticated existing molecular machines. This complex network of processes covers a wide range of timescales, from few fs to ms, and distances, from atoms to large protein domains.
Even the most recent experimental techniques generally provide ns-to-us averaged structural and dynamical information, often in non-physiological conditions. To access simultaneously atomic time and length scales would unveil the elementary conformational steps constituting a functional event and their temporal evolution.
I propose to extend emerging multidimensional ultrafast optical spectroscopic techniques to the deep ultraviolet. These techniques are the analogue of multidimensional Nuclear Magnetic Resonance methods and are able to provide structural information exploiting electric dipole couplings but with fs temporal resolution. The novel extension to ultraviolet, that I shall implement, will open the possibility to exploit the optical absorption of aromatic amino-acid residues with the great advantage of studying wild type proteins. In this way, all drawbacks due to artificial labeling will be ruled out. I will use this new technique to study dynamic-assisted long range electron transfer in copper proteins and enzyme regulation in hemoglobin. These two proteins of great importance from a biological point of view have been chosen because their functions are a clear manifestation of cooperative phenomena. On a long term prospective this methodology will be a universal tool applicable to any wild type protein containing aromatic amino acids.
Summary
Proteins perform their biological function following specific sequences of events. During these dynamical paths, highly non-trivial cooperative interactions occur. Ultimately, this is the origin of the emerging collective behavior that makes proteins the most sophisticated existing molecular machines. This complex network of processes covers a wide range of timescales, from few fs to ms, and distances, from atoms to large protein domains.
Even the most recent experimental techniques generally provide ns-to-us averaged structural and dynamical information, often in non-physiological conditions. To access simultaneously atomic time and length scales would unveil the elementary conformational steps constituting a functional event and their temporal evolution.
I propose to extend emerging multidimensional ultrafast optical spectroscopic techniques to the deep ultraviolet. These techniques are the analogue of multidimensional Nuclear Magnetic Resonance methods and are able to provide structural information exploiting electric dipole couplings but with fs temporal resolution. The novel extension to ultraviolet, that I shall implement, will open the possibility to exploit the optical absorption of aromatic amino-acid residues with the great advantage of studying wild type proteins. In this way, all drawbacks due to artificial labeling will be ruled out. I will use this new technique to study dynamic-assisted long range electron transfer in copper proteins and enzyme regulation in hemoglobin. These two proteins of great importance from a biological point of view have been chosen because their functions are a clear manifestation of cooperative phenomena. On a long term prospective this methodology will be a universal tool applicable to any wild type protein containing aromatic amino acids.
Max ERC Funding
1 473 600 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym HBMAP
Project Decoding, Mapping and Designing the Structural Complexity of Hydrogen-Bond Networks: from Water to Proteins to Polymers
Researcher (PI) Michele Ceriotti
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2015-STG
Summary Hydrogen bonds are ubiquitous and fundamental in nature, underpinning the behavior of systems as different as water, proteins and polymers. Much of this flexibility derives from their propensity to form complex topological networks, which can be strong enough to hold Kevlar together, or sufficiently labile to enable reversible structural transitions in allosteric proteins.
Simulations must treat the quantum nature of both electrons and protons to describe accurately the microscopic structure of H-bonded materials, but this wealth of data does not necessarily translate into deep physical understanding. Even the structure of a compound as essential as water is still the subject of intense debate, despite extensive investigations. Identifying recurring bonding patterns is essential to comprehend and manipulate the structural and dynamical properties of H-bonded systems.
Our objective is to develop and apply machine-learning techniques to atomistic simulations, and identify the design principles that govern the structure and properties of H-bonded compounds. Our strategy rests on three efforts: (1) recognition of recurring structural motifs with probabilistic data analysis; (2) coarse-grained mapping of the energetically accessible structural landscape by non-linear dimensionality reduction techniques; (3) acceleration of configuration sampling using these data-driven collective variables.
Identifying motifs and order parameters will be crucial to interpret simulations and experiments of growing complexity, and will enable computational design of H-bond networks. We will focus first on two objectives. (1) Rationalizing the structure of crystalline, amorphous and liquid water across its phase diagram, from ambient to astrophysical conditions, and its response to solutes, interfaces or confinement. (2) Enabling efficient simulation and structural design of polymers and proteins in non-biological contexts, targeting biomimetic materials and organic/inorganic interfaces.
Summary
Hydrogen bonds are ubiquitous and fundamental in nature, underpinning the behavior of systems as different as water, proteins and polymers. Much of this flexibility derives from their propensity to form complex topological networks, which can be strong enough to hold Kevlar together, or sufficiently labile to enable reversible structural transitions in allosteric proteins.
Simulations must treat the quantum nature of both electrons and protons to describe accurately the microscopic structure of H-bonded materials, but this wealth of data does not necessarily translate into deep physical understanding. Even the structure of a compound as essential as water is still the subject of intense debate, despite extensive investigations. Identifying recurring bonding patterns is essential to comprehend and manipulate the structural and dynamical properties of H-bonded systems.
Our objective is to develop and apply machine-learning techniques to atomistic simulations, and identify the design principles that govern the structure and properties of H-bonded compounds. Our strategy rests on three efforts: (1) recognition of recurring structural motifs with probabilistic data analysis; (2) coarse-grained mapping of the energetically accessible structural landscape by non-linear dimensionality reduction techniques; (3) acceleration of configuration sampling using these data-driven collective variables.
Identifying motifs and order parameters will be crucial to interpret simulations and experiments of growing complexity, and will enable computational design of H-bond networks. We will focus first on two objectives. (1) Rationalizing the structure of crystalline, amorphous and liquid water across its phase diagram, from ambient to astrophysical conditions, and its response to solutes, interfaces or confinement. (2) Enabling efficient simulation and structural design of polymers and proteins in non-biological contexts, targeting biomimetic materials and organic/inorganic interfaces.
Max ERC Funding
1 500 000 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym HPAH
Project Hydrogen interaction with polycyclic aromatic hydrocarbons – from interstellar catalysis to hydrogen storage
Researcher (PI) Liv Hornekaer
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), PE4, ERC-2007-StG
Summary In a truly cross-disciplinary research project encompassing surface science, astrophysics and chemistry we aim to address two of the major outstanding questions in the field of astrochemistry, namely i) how molecular hydrogen, the most abundant molecule in the interstellar medium, form, and ii) whether it is possible to identify specific Polycyclic Aromatic Hydrocarbon (PAH) species in interstellar spectra. The insights gained from the experimental investigations may revolutionize our current understanding of astrochemistry and will have impact even beyond the field. Special emphasis will be placed on the impact our findings will have on ascertaining the suitability of PAHs as a hydrogen storage medium. By combining scanning tunneling microscopy, thermal desorption spectroscopy, laser-induced thermal desorption time-of-flight mass spectrometry, fluorescence spectroscopy experiments and density functional theory calculations we will map out the interaction of atomic hydrogen with PAHs. The goal of the investigation is to obtain atomic level understanding of the atomic hydrogen – PAH interaction in order to i) ascertain whether interstellar molecular hydrogen formation, contrary to present belief but in accordance with our recent calculations, could occur predominantly via interaction with PAHs, ii) measure the adsorption/emission spectrum of Hydrogen-PAH complexes and thereby facilitate observational detection of these complexes in the interstellar medium, iii) determine whether PAHs are a promising medium for hydrogen storage and iv) ascertain whether the hydrogen storage properties of PAHs are tunable by electro-magnetic radiation. This ambitious and cross-disciplinary research project will predominantly take place at the newly established Surface Dynamics Laboratory at the University of Aarhus, headed by the applicant, but will also benefit from fruitful collaborations already initiated with local, national and international colleagues.
Summary
In a truly cross-disciplinary research project encompassing surface science, astrophysics and chemistry we aim to address two of the major outstanding questions in the field of astrochemistry, namely i) how molecular hydrogen, the most abundant molecule in the interstellar medium, form, and ii) whether it is possible to identify specific Polycyclic Aromatic Hydrocarbon (PAH) species in interstellar spectra. The insights gained from the experimental investigations may revolutionize our current understanding of astrochemistry and will have impact even beyond the field. Special emphasis will be placed on the impact our findings will have on ascertaining the suitability of PAHs as a hydrogen storage medium. By combining scanning tunneling microscopy, thermal desorption spectroscopy, laser-induced thermal desorption time-of-flight mass spectrometry, fluorescence spectroscopy experiments and density functional theory calculations we will map out the interaction of atomic hydrogen with PAHs. The goal of the investigation is to obtain atomic level understanding of the atomic hydrogen – PAH interaction in order to i) ascertain whether interstellar molecular hydrogen formation, contrary to present belief but in accordance with our recent calculations, could occur predominantly via interaction with PAHs, ii) measure the adsorption/emission spectrum of Hydrogen-PAH complexes and thereby facilitate observational detection of these complexes in the interstellar medium, iii) determine whether PAHs are a promising medium for hydrogen storage and iv) ascertain whether the hydrogen storage properties of PAHs are tunable by electro-magnetic radiation. This ambitious and cross-disciplinary research project will predominantly take place at the newly established Surface Dynamics Laboratory at the University of Aarhus, headed by the applicant, but will also benefit from fruitful collaborations already initiated with local, national and international colleagues.
Max ERC Funding
1 499 810 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym LABCHIP_MULTIPLEX
Project Simultaneous Detection of Multiple DNA and Protein Targets on Paramagnetic Beads Packed in Microfluidic Channels using Quantum Dots as Tracers
Researcher (PI) Martin Pumera
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2009-StG
Summary The detection of DNA hybridization and protein recoginittion event (immunoassay) is very important for the diagnosis and treatment of genetic diseases, for the detection infectious agents and for reliable forensic analysis. Recent activity has focused on the development of hybridization assays that permit simultaneous determination of multiple DNA or protein targets, using optical or electrochemical coding technology, based on unique encoding properties of semiconductor crystal nanoparticle tags (quantum dots). Described multi-target bio assays were performed in batch mode, involving significant amount of steps, connected with the possibility of human error, time and reagents consuming. Lab-on-a-chip technology offers tremendous potential for obtaining desired analytical information in a simpler, faster and cheaper way compared to traditional batch/laboratory-based technology. Particularly attractive for multiple DNA and protein recognition applications (i.e. point-of-care) is the high-throughput, automation, versatility, portability, reagent/sample economy and high-performance of such micromachined devices. Overall objective of the proposed research is to create and characterize a portable microanalyzer, based on a novel advanced Lab-on-a-Chip technology with magnetic separation and end-column quantum dots tracers voltammetric detection of multiple DNA and protein targets for point-of-care , automated, high-throughput, sensitive, selective and simultaneous assays. The new micro-total analytical system will rely on coupling of microfluidic transport of samples, effective flow-through magnetic separation complementary/non-complementary DNA and protein targets and a novel chip-based voltammetric stripping detection of quantum dot tags. To successfully complete such advanced micro-total analytical system, several fundamental and practical issues will be addressed.
Summary
The detection of DNA hybridization and protein recoginittion event (immunoassay) is very important for the diagnosis and treatment of genetic diseases, for the detection infectious agents and for reliable forensic analysis. Recent activity has focused on the development of hybridization assays that permit simultaneous determination of multiple DNA or protein targets, using optical or electrochemical coding technology, based on unique encoding properties of semiconductor crystal nanoparticle tags (quantum dots). Described multi-target bio assays were performed in batch mode, involving significant amount of steps, connected with the possibility of human error, time and reagents consuming. Lab-on-a-chip technology offers tremendous potential for obtaining desired analytical information in a simpler, faster and cheaper way compared to traditional batch/laboratory-based technology. Particularly attractive for multiple DNA and protein recognition applications (i.e. point-of-care) is the high-throughput, automation, versatility, portability, reagent/sample economy and high-performance of such micromachined devices. Overall objective of the proposed research is to create and characterize a portable microanalyzer, based on a novel advanced Lab-on-a-Chip technology with magnetic separation and end-column quantum dots tracers voltammetric detection of multiple DNA and protein targets for point-of-care , automated, high-throughput, sensitive, selective and simultaneous assays. The new micro-total analytical system will rely on coupling of microfluidic transport of samples, effective flow-through magnetic separation complementary/non-complementary DNA and protein targets and a novel chip-based voltammetric stripping detection of quantum dot tags. To successfully complete such advanced micro-total analytical system, several fundamental and practical issues will be addressed.
Max ERC Funding
1 400 000 €
Duration
Start date: 2010-04-01, End date: 2015-03-31
Project acronym MINE
Project Molecular Interfacial structure and dynamics of Nanoscopic droplets in Emulsions (MINE)
Researcher (PI) Sylvie Roke
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2009-StG
Summary Emulsions consist of one liquid dispersed as nanoscopic droplets in another liquid, such as milk, and butter. The understanding of the structure and stability of emulsions is commonly obtained from empirical studies in which a macroscopic parameter (like temperature or concentration of constituents) is varied. Since the work of Irving Langmuir and others (published in 1917) it is well established that the stability and properties of these nanoscopic droplets are strongly influenced by the state of the droplet interface. However, despite the abundance and importance of emulsions in our daily lives, the molecular mechanisms that dictate the stability and properties of emulsions are still unknown. This lack of insight is caused by the system itself: the condensed surrounding medium forms an impenetrable barrier to most molecular probes. Nonlinear light scattering spectroscopy, a novel method I have developed (both theoretically and experimentally), offers a way of obtaining molecular information (chemical composition, molecular orientation, ordering and chirality) of the interfaces of nanoscopic particles in solution. With this method it should be possible to observe, in-situ, non-invasively and label-free, the molecules at the interface of the nanoscopic droplets in solution. I therefore propose to form a small group that investigates interfaces of nanoscopic droplets in emulsions on the molecular level and timescale. Using femtosecond nonlinear light scattering methods we can finally observe the molecules that dictate the structure and stability of emulsions in action.
Summary
Emulsions consist of one liquid dispersed as nanoscopic droplets in another liquid, such as milk, and butter. The understanding of the structure and stability of emulsions is commonly obtained from empirical studies in which a macroscopic parameter (like temperature or concentration of constituents) is varied. Since the work of Irving Langmuir and others (published in 1917) it is well established that the stability and properties of these nanoscopic droplets are strongly influenced by the state of the droplet interface. However, despite the abundance and importance of emulsions in our daily lives, the molecular mechanisms that dictate the stability and properties of emulsions are still unknown. This lack of insight is caused by the system itself: the condensed surrounding medium forms an impenetrable barrier to most molecular probes. Nonlinear light scattering spectroscopy, a novel method I have developed (both theoretically and experimentally), offers a way of obtaining molecular information (chemical composition, molecular orientation, ordering and chirality) of the interfaces of nanoscopic particles in solution. With this method it should be possible to observe, in-situ, non-invasively and label-free, the molecules at the interface of the nanoscopic droplets in solution. I therefore propose to form a small group that investigates interfaces of nanoscopic droplets in emulsions on the molecular level and timescale. Using femtosecond nonlinear light scattering methods we can finally observe the molecules that dictate the structure and stability of emulsions in action.
Max ERC Funding
1 150 000 €
Duration
Start date: 2009-11-01, End date: 2014-10-31
Project acronym OSIRIS
Project Organic Semiconductors Interfaced with Biological Environments
Researcher (PI) Natalie Renuka BANERJI
Host Institution (HI) UNIVERSITAET BERN
Call Details Starting Grant (StG), PE4, ERC-2016-STG
Summary Transducing information to and from biological environments is essential for bioresearch, neuroscience and healthcare. There has been recent focus on using organic semiconductors to interface the living world, since their structural similarity to bio-macromolecules strongly favours their biological integration. Either water-soluble conjugated polyelectrolytes are dissolved in the biological medium, or solid-state organic thin films are incorporated into bioelectronic devices. Proof-of-concept of versatile applications has been demonstrated – sensing, neural stimulation, transduction of brain activity, and photo-stimulation of cells. However, progress in the organic biosensing and bioelectronics field is limited by poor understanding of the underlying fundamental working principles. Given the complexity of the disordered, hybrid solid-liquid systems of interest, gaining mechanistic knowledge presents a considerable scientific challenge. The objective of OSIRIS is to overcome this challenge with a high-end spectroscopic approach, at present essentially missing from the field. We will address: 1) The nature of the interface at molecular and macroscopic level (assembly of polyelectrolytes with bio-molecules, interfacial properties of immersed organic thin films). 2) How the optoelectronics of organic semiconductors are affected upon exposure to aqueous environments containing electrolytes, biomolecules and cells. 3) How information is transduced across the interface (optical signals, thermal effects, charge transfer, electric fields, interplay of electronic/ionic transport). Via spectroscopy, we will target relevant optoelectronic processes with ultrafast time-resolution, structurally characterize the solid-liquid interface using non-linear sum-frequency generation, exploit Stark shifts related to interfacial fields, determine nanoscale charge mobility using terahertz spectroscopy in attenuated total reflection geometry, and simultaneously measure ionic transport.
Summary
Transducing information to and from biological environments is essential for bioresearch, neuroscience and healthcare. There has been recent focus on using organic semiconductors to interface the living world, since their structural similarity to bio-macromolecules strongly favours their biological integration. Either water-soluble conjugated polyelectrolytes are dissolved in the biological medium, or solid-state organic thin films are incorporated into bioelectronic devices. Proof-of-concept of versatile applications has been demonstrated – sensing, neural stimulation, transduction of brain activity, and photo-stimulation of cells. However, progress in the organic biosensing and bioelectronics field is limited by poor understanding of the underlying fundamental working principles. Given the complexity of the disordered, hybrid solid-liquid systems of interest, gaining mechanistic knowledge presents a considerable scientific challenge. The objective of OSIRIS is to overcome this challenge with a high-end spectroscopic approach, at present essentially missing from the field. We will address: 1) The nature of the interface at molecular and macroscopic level (assembly of polyelectrolytes with bio-molecules, interfacial properties of immersed organic thin films). 2) How the optoelectronics of organic semiconductors are affected upon exposure to aqueous environments containing electrolytes, biomolecules and cells. 3) How information is transduced across the interface (optical signals, thermal effects, charge transfer, electric fields, interplay of electronic/ionic transport). Via spectroscopy, we will target relevant optoelectronic processes with ultrafast time-resolution, structurally characterize the solid-liquid interface using non-linear sum-frequency generation, exploit Stark shifts related to interfacial fields, determine nanoscale charge mobility using terahertz spectroscopy in attenuated total reflection geometry, and simultaneously measure ionic transport.
Max ERC Funding
1 498 275 €
Duration
Start date: 2017-08-01, End date: 2022-07-31
Project acronym OXIDESYNERGY
Project Understanding the Atomic Scale Synergies of Catalytically Active Nanoclusters on Metal Oxide Surfaces
Researcher (PI) Jeppe Vang Lauritsen
Host Institution (HI) AARHUS UNIVERSITET
Call Details Starting Grant (StG), PE4, ERC-2009-StG
Summary The research theme concerns the application of new experimental methods for atomic-scale characterization of model catalysts based on insulating metal oxides with the goal of exploring the potential for designing new and efficient heterogeneous catalysts by enhanced control of the catalyst structure at the atomic level. This objective will be achieved by a carefully integrated sequence of synthesis, characterization, and reactivity measurements of model catalysts based on insulating metal oxides. The project aims in detail at resolving some pertinent support synergies and size-effects, which have been revealed in catalytic systems. A core challenge and advance, which sets the project apart from previous research, is the application of high-resolution non contact Atomic Force Microscopy (nc-AFM), which is the only available tool that can resolve the atomic structure of insulator surfaces and the morphology of supported nanoclusters. I will combine my proven experience with atom-resolved imaging using nc-AFM with novel methods for synthesizing and analyzing model catalysts, to provide groundbreaking new atomistic insight. A crucial aspect will be the ability to relate nc-AFM observations to actual catalytic properties, and this will be achieved by using complementary surface spectroscopies and reaction measurements performed at real high pressure conditions. I firmly believe that this research strategy can provide the key insight to a significantly better understanding of the numerous catalytic systems based on insulating metal oxides, and this project will enable me to set up a unique world-class experimental facility for such studies.
Summary
The research theme concerns the application of new experimental methods for atomic-scale characterization of model catalysts based on insulating metal oxides with the goal of exploring the potential for designing new and efficient heterogeneous catalysts by enhanced control of the catalyst structure at the atomic level. This objective will be achieved by a carefully integrated sequence of synthesis, characterization, and reactivity measurements of model catalysts based on insulating metal oxides. The project aims in detail at resolving some pertinent support synergies and size-effects, which have been revealed in catalytic systems. A core challenge and advance, which sets the project apart from previous research, is the application of high-resolution non contact Atomic Force Microscopy (nc-AFM), which is the only available tool that can resolve the atomic structure of insulator surfaces and the morphology of supported nanoclusters. I will combine my proven experience with atom-resolved imaging using nc-AFM with novel methods for synthesizing and analyzing model catalysts, to provide groundbreaking new atomistic insight. A crucial aspect will be the ability to relate nc-AFM observations to actual catalytic properties, and this will be achieved by using complementary surface spectroscopies and reaction measurements performed at real high pressure conditions. I firmly believe that this research strategy can provide the key insight to a significantly better understanding of the numerous catalytic systems based on insulating metal oxides, and this project will enable me to set up a unique world-class experimental facility for such studies.
Max ERC Funding
1 050 000 €
Duration
Start date: 2009-10-01, End date: 2014-09-30
Project acronym ProteinDynamics
Project Visualizing the Conformational Dynamics of Proteins by Time-Resolved Electron Microscopy
Researcher (PI) Ulrich Joseph LORENZ
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2017-STG
Summary The function of many proteins involves large-amplitude domain motions that occur on a timescale of microseconds to millisecond. In the absence of tools to directly observe these dynamics, our understanding of the function of proteins is necessarily incomplete and must frequently rely on extrapolation from known static structures. Here, the implementation of real-time imaging of single particle dynamics in liquid phase is proposed with both microsecond time resolution as well as near-atomic spatial resolution. The experimental approach builds on several recent technological advances, namely the advent of Time-Resolved (“Four-dimensional”) Electron Microscopy, graphene liquid cell technology, and direct electron detection cameras, which are combined with established single-particle reconstruction techniques in cryo-Electron Microscopy. Visualizing the conformational dynamics of proteins will fundamentally advance our understanding of these nanoscale machines and has the potential to greatly benefit biomedical applications.
Summary
The function of many proteins involves large-amplitude domain motions that occur on a timescale of microseconds to millisecond. In the absence of tools to directly observe these dynamics, our understanding of the function of proteins is necessarily incomplete and must frequently rely on extrapolation from known static structures. Here, the implementation of real-time imaging of single particle dynamics in liquid phase is proposed with both microsecond time resolution as well as near-atomic spatial resolution. The experimental approach builds on several recent technological advances, namely the advent of Time-Resolved (“Four-dimensional”) Electron Microscopy, graphene liquid cell technology, and direct electron detection cameras, which are combined with established single-particle reconstruction techniques in cryo-Electron Microscopy. Visualizing the conformational dynamics of proteins will fundamentally advance our understanding of these nanoscale machines and has the potential to greatly benefit biomedical applications.
Max ERC Funding
2 000 000 €
Duration
Start date: 2018-03-01, End date: 2023-02-28
Project acronym SINGLECELLDYNAMICS
Project Optofluidic toolkit for characterizing single-cell dynamics in systems immunology
Researcher (PI) Savas Tay
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE4, ERC-2013-StG
Summary Immune cells constantly receive signalling inputs such as pathogen-emitted molecules, use gene regulatory pathways to process these signals, and generate outputs by secreting signalling molecules like cytokines. Characterizing the input-output relationship of a biological system helps understanding its regulatory mechanisms, and allows building models to predict how the system will operate in complex physiological scenarios, such as population tissue response to infection. A major obstacle in this endeavor has been the so-called “biological noise”, or significant variability in measured molecular parameters between cells. Such variability makes time-dependent single-cell analysis crucial to understand how biological systems operate. Development of new analytical tools with improved functionality, accuracy, and throughput is needed to realize the full potential of single-cell analysis. We propose to develop automated, high-throughput, Optofluidic single-cell analysis systems with unprecedented capabilities, and to use them in understanding how immune cells organize in tissue during response to infection. Microfluidic membrane-valves, nanodroplets, optics, and automation will be integrated to achieve an unparalleled degree of control over single immune cells. Multi-functional lab-on-chip devices will simultaneously measure: a) The activity of immune regulatory proteins such as NF-κB, and b) Inflammatory cytokines secreted from single immune cells in a time-dependent manner, under precisely defined biochemical inputs. Characterizing macrophage cytokine secretion dynamics under combinatorial regiments of bacterial and apoptotic-cell signals will allow dissecting the signalling mechanism responsible from the resolution of inflammation. We will identify the role of the NF-κB pathway in regulation of cytokine dynamics. We will use our data to develop a computer model of tissue-level immune response to pathogens through the NF-κB pathway and cytokine signaling.
Summary
Immune cells constantly receive signalling inputs such as pathogen-emitted molecules, use gene regulatory pathways to process these signals, and generate outputs by secreting signalling molecules like cytokines. Characterizing the input-output relationship of a biological system helps understanding its regulatory mechanisms, and allows building models to predict how the system will operate in complex physiological scenarios, such as population tissue response to infection. A major obstacle in this endeavor has been the so-called “biological noise”, or significant variability in measured molecular parameters between cells. Such variability makes time-dependent single-cell analysis crucial to understand how biological systems operate. Development of new analytical tools with improved functionality, accuracy, and throughput is needed to realize the full potential of single-cell analysis. We propose to develop automated, high-throughput, Optofluidic single-cell analysis systems with unprecedented capabilities, and to use them in understanding how immune cells organize in tissue during response to infection. Microfluidic membrane-valves, nanodroplets, optics, and automation will be integrated to achieve an unparalleled degree of control over single immune cells. Multi-functional lab-on-chip devices will simultaneously measure: a) The activity of immune regulatory proteins such as NF-κB, and b) Inflammatory cytokines secreted from single immune cells in a time-dependent manner, under precisely defined biochemical inputs. Characterizing macrophage cytokine secretion dynamics under combinatorial regiments of bacterial and apoptotic-cell signals will allow dissecting the signalling mechanism responsible from the resolution of inflammation. We will identify the role of the NF-κB pathway in regulation of cytokine dynamics. We will use our data to develop a computer model of tissue-level immune response to pathogens through the NF-κB pathway and cytokine signaling.
Max ERC Funding
1 499 165 €
Duration
Start date: 2013-10-01, End date: 2018-09-30
Project acronym SRMS4HESUS
Project Super-resolution mass spectrometry for health and sustainability
Researcher (PI) Yury Tsybin
Host Institution (HI) SPECTROSWISS SARL
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary Health and sustainability are the grand-challenges the world faces in the XXI century. The recent progress in science and technology allows now considering these prioritized directions of humanity development at the molecular level. Mass spectrometry is a key analytical technique in receiving the required molecular information from minute amounts of samples present in the gas, solid or liquid phase. The current state-of-the-art in MS applications confirms that investing into basic chemical and physical research is as essential as ever to come prepared for the growing applications challenges and overall for the Europe’s long-term competitiveness and well-being.
Within the current proposal, we suggest an interdisciplinary research program to address the challenges in health and sustainability through the scientifical and technological developments in the analytical science. The current project specifically aims at developing the super-resolution mass spectrometry to achieve high resolving power in a short acquisition time period or ultra high resolving power in a long acquisition time period. The former one is crucial for a number of applications in life science and environmental science-oriented proteomics, petroleomics, metabolomics, and imaging. Whereas the latter one would contribute to the long term vision originating from the project’s objectives, specifically molecular isomer differentiation or weighing the chemical bonds in a molecule directly by mass spectrometry.
The fundamental insights and knowledge gained during the proposed research can have a deep impact in physical, (bio)chemical and life sciences. The envisioned scientific achievements in the health and sustainability applications may translate into the improved drug discovery, early diagnosis and prognosis for preventive and personalized medicine. The planet and humanity should further benefit from an increase in the sustainability of the energy production and processing.
Summary
Health and sustainability are the grand-challenges the world faces in the XXI century. The recent progress in science and technology allows now considering these prioritized directions of humanity development at the molecular level. Mass spectrometry is a key analytical technique in receiving the required molecular information from minute amounts of samples present in the gas, solid or liquid phase. The current state-of-the-art in MS applications confirms that investing into basic chemical and physical research is as essential as ever to come prepared for the growing applications challenges and overall for the Europe’s long-term competitiveness and well-being.
Within the current proposal, we suggest an interdisciplinary research program to address the challenges in health and sustainability through the scientifical and technological developments in the analytical science. The current project specifically aims at developing the super-resolution mass spectrometry to achieve high resolving power in a short acquisition time period or ultra high resolving power in a long acquisition time period. The former one is crucial for a number of applications in life science and environmental science-oriented proteomics, petroleomics, metabolomics, and imaging. Whereas the latter one would contribute to the long term vision originating from the project’s objectives, specifically molecular isomer differentiation or weighing the chemical bonds in a molecule directly by mass spectrometry.
The fundamental insights and knowledge gained during the proposed research can have a deep impact in physical, (bio)chemical and life sciences. The envisioned scientific achievements in the health and sustainability applications may translate into the improved drug discovery, early diagnosis and prognosis for preventive and personalized medicine. The planet and humanity should further benefit from an increase in the sustainability of the energy production and processing.
Max ERC Funding
1 425 728 €
Duration
Start date: 2011-11-01, End date: 2016-10-31
Project acronym SURFSPEC
Project Theoretical multiphoton spectroscopy for understanding surfaces and interfaces
Researcher (PI) Kenneth Ruud
Host Institution (HI) UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary The project will develop new methods for calculating nonlinear spectroscopic properties, both in the electronic as well as in the vibrational domain. The methods will be used to study molecular interactions at interfaces, allowing for a direct comparison of experimental observations with theoretical calculations. In order to explore different ways of modeling surface and interface interactions, we will develop three different ab initio methods for calculating these nonlinear molecular properties: 1) Multiscale methods, in which the interface region is partitioned into three different layers. The part involving interface-absorbed molecules will be described by quantum-chemical methods, the closest surrounding part of the system where specific interactions are important will be described by classical, polarizable force fields, and the long-range electrostatic interactions will be described by a polarizable continuum. 2) Periodic-boundary conditions: We will extend a response theory framework recently developed in our group to describe periodic systems using Gaussian basis sets. This will be achieved by deriving the necessary formulas, and interface our response framework to existing periodic-boundary codes. 3) Time-domain methods: Starting from the equation of motion for the reduced single-electron density matrix, we will propagate the electron density and the classical nuclei in time in order to model time-resolved vibrational spectroscopies.
The novelty of the project is in its focus on nonlinear molecular properties, both electronic and vibrational, and the development of computational models for surfaces and interfaces that may help rationalize experimental observations of interface phenomena and molecular adsorption at interfaces. In the application of the methods developed, particular attention will be given to nonlinear electronic and vibrational spectroscopies that selectively probe surfaces and interfaces in a non-invasive manner, such as SFG.
Summary
The project will develop new methods for calculating nonlinear spectroscopic properties, both in the electronic as well as in the vibrational domain. The methods will be used to study molecular interactions at interfaces, allowing for a direct comparison of experimental observations with theoretical calculations. In order to explore different ways of modeling surface and interface interactions, we will develop three different ab initio methods for calculating these nonlinear molecular properties: 1) Multiscale methods, in which the interface region is partitioned into three different layers. The part involving interface-absorbed molecules will be described by quantum-chemical methods, the closest surrounding part of the system where specific interactions are important will be described by classical, polarizable force fields, and the long-range electrostatic interactions will be described by a polarizable continuum. 2) Periodic-boundary conditions: We will extend a response theory framework recently developed in our group to describe periodic systems using Gaussian basis sets. This will be achieved by deriving the necessary formulas, and interface our response framework to existing periodic-boundary codes. 3) Time-domain methods: Starting from the equation of motion for the reduced single-electron density matrix, we will propagate the electron density and the classical nuclei in time in order to model time-resolved vibrational spectroscopies.
The novelty of the project is in its focus on nonlinear molecular properties, both electronic and vibrational, and the development of computational models for surfaces and interfaces that may help rationalize experimental observations of interface phenomena and molecular adsorption at interfaces. In the application of the methods developed, particular attention will be given to nonlinear electronic and vibrational spectroscopies that selectively probe surfaces and interfaces in a non-invasive manner, such as SFG.
Max ERC Funding
1 498 500 €
Duration
Start date: 2011-09-01, End date: 2016-08-31
Project acronym TOPOPLAN
Project Topographically guided placement of asymmetric nano-objects
Researcher (PI) Armin Wolfgang Knoll
Host Institution (HI) IBM RESEARCH GMBH
Call Details Starting Grant (StG), PE4, ERC-2012-StG_20111012
Summary "The controlled synthesis of nanoparticles in the form of spheres, rods and wires has led to a variety of applications. A much wider spectrum of applications e.g. in integrated devices would be available if a precise placement and alignment relative to neighbouring particles or other functional structures on the substrate is achieved. A potential solution to this challenge is to use top-down methods to guide the placement and orientation of nanoparticles. Ideally, a precise orientation and placement is achieved for a wide range of particle shapes, a so far unresolved challenge.
Here we propose to generate a tunable electrostatic potential minimum by exploiting double-layer potentials between two confining surfaces in liquid. The shape of the potential is determined by the local three-dimensional topography of the confining surfaces. This topography can be precisely tailored using the patterning technology that has been developed in our research group. The potential shape can be adapted to fit to a wide range of particle shapes. The trapping energies exceed the thermal energies governing Brownian motion and trap and orient particles reliably. After trapping, the particles are transferred in a subsequent step onto the substrate by external manipulation.
The separation of the trapping and placement steps has several unique advantages over existing strategies. High aspect ratio structures or fragile pre-assembled structures like nanoparticles linked by DNA strands can be pre-aligned in the trapping field and placed in the desired geometry. For applications like the placement of quantum dots into high fidelity cavities, the trapped particles can be examined optically and repelled if the spectral properties do not match. In particular the precise positioning of nanowires is promising to build up complex circuits for (opto-)electronic applications. Additionally, the trapping and placement processes proceed in parallel and high throughput values can be achieved."
Summary
"The controlled synthesis of nanoparticles in the form of spheres, rods and wires has led to a variety of applications. A much wider spectrum of applications e.g. in integrated devices would be available if a precise placement and alignment relative to neighbouring particles or other functional structures on the substrate is achieved. A potential solution to this challenge is to use top-down methods to guide the placement and orientation of nanoparticles. Ideally, a precise orientation and placement is achieved for a wide range of particle shapes, a so far unresolved challenge.
Here we propose to generate a tunable electrostatic potential minimum by exploiting double-layer potentials between two confining surfaces in liquid. The shape of the potential is determined by the local three-dimensional topography of the confining surfaces. This topography can be precisely tailored using the patterning technology that has been developed in our research group. The potential shape can be adapted to fit to a wide range of particle shapes. The trapping energies exceed the thermal energies governing Brownian motion and trap and orient particles reliably. After trapping, the particles are transferred in a subsequent step onto the substrate by external manipulation.
The separation of the trapping and placement steps has several unique advantages over existing strategies. High aspect ratio structures or fragile pre-assembled structures like nanoparticles linked by DNA strands can be pre-aligned in the trapping field and placed in the desired geometry. For applications like the placement of quantum dots into high fidelity cavities, the trapped particles can be examined optically and repelled if the spectral properties do not match. In particular the precise positioning of nanowires is promising to build up complex circuits for (opto-)electronic applications. Additionally, the trapping and placement processes proceed in parallel and high throughput values can be achieved."
Max ERC Funding
1 496 526 €
Duration
Start date: 2012-10-01, End date: 2017-09-30