ERC FUNDED PROJECTS

This project aims at promoting sustainable combustion technologies for transport via validation of advanced combustion kinetic models obtained using sophisticated new laboratory experiments, engines, and theoretical computations, breaking through the current frontier of knowledge. It will focus on the unexplored kinetics of ignition and combustion of 2nd generation (2G) biofuels and blends with conventional fuels, which should provide energy safety and sustainability to Europe. The motivation is that no accurate kinetic models are available for the ignition, oxidation and combustion of 2G-biofuels, and improved ignition control is needed for new compression ignition engines. Crucial information is missing: data from well characterised experiments on combustion-generated pollutants and data on key-intermediates for fuels ignition in new engines. To provide that knowledge new well-instrumented complementary experiments and kinetic modelling will be used. Measurements of key-intermediates, stables species, and pollutants will be performed. New ignition control strategies will be designed, opening new technological horizons. Kinetic modelling will be used for rationalising the results. Due to the complexity of 2G-biofuels and their unusual composition, innovative surrogates will be designed. Kinetic models for surrogate fuels will be generalised for extension to other compounds. The experimental results, together with ab-initio and detailed modelling, will serve to characterise the kinetics of ignition, combustion, and pollutants formation of fuels including 2G biofuels, and provide relevant data and models. This research is risky because this is (i) the 1st effort to measure radicals by reactor/CRDS coupling, (ii) the 1st effort to use a μ-channel reactor to build ignition databases for conventional and bio-fuels, (iii) the 1st effort to design and use controlled generation and injection of reactive species to control ignition/combustion in compression ignition engines

2 498 450 €

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

The realization of high-performance micro-supercapacitors is currently a big challenge but the ineluctable applications requiring such miniaturized energy storage devices are continuously emerging, from wearable electronic gadgets to wireless sensor networks. Although they store less energy than micro-batteries, micro-supercapacitors can be charged and discharged very rapidly and exhibit a quasi-unlimited lifetime. The global scientific research is consequently largely focused on the improvement of their capacitance and energetic performances. However, to date, they are still far from being able to power sensors or electronic components. Here I propose a 3D paradigm shift of micro-supercapacitor design to ensure increased energy storage capacities. Hydrous ruthenium dioxide (RuO2) is a pseudocapacitive material for supercapacitor electrode well-known for its high capacitance. A thin-film of ruthenium will be deposited by atomic layer deposition (ALD), followed by an electrochemical oxidation process, onto a high-surface-area 3D current collector prepared via an ingenious dynamic template built with hydrogen bubbles. The structural features of these 3D architectures will be controllably tailored by the processing methodologies. These electrodes will be combined with an innovative electrolyte in solid form (a protic ionogel) able to operate over an extended cell voltage. In a parallel investigation, we will develop a fundamental understanding of electrochemical reactions occurring at the nanoscale with a FIB-patterned (Focused Ion Beam) RuO2 nano-supercapacitor. The resulting 3D micro-supercapacitors should display extremely high power, long lifetime and – for the first time – energy densities competing or even exceeding that of micro-batteries. As a key achievement, prototypes will be designed using a new concept based on a self-adaptative micro-supercapacitors matrix, which arranges itself according to the global amount of energy stored.

1 673 438 €

Start date: 2018-04-01, End date: 2023-03-31

At the end of their life, stars spread their inner material into the diffuse interstellar medium. This diffuse medium gets locally denser and form dark clouds (also called dense or molecular clouds) whose innermost part is shielded from the external UV field by the dust, allowing for molecules to grow and get more complex. Gravitational collapse occurs inside these dense clouds, forming protostars and their surrounding disks, and eventually planetary systems like (or unlike) our solar system. The formation and evolution of molecules, minerals, ices and organics from the diffuse medium to planetary bodies, their alteration or preservation throughout this cosmic chemical history set the initial conditions for building planets, atmospheres and possibly the first bricks of life. The current view of interstellar chemistry is based on fragmental works on key steps of the sequence that are observed. The objective of this proposal is to follow the fractionation of the elements between the gas-phase and the interstellar grains, from the most diffuse medium to protoplanetary disks, in order to constrain the chemical composition of the material in which planets are formed. The potential outcome of this project is to get a consistent and more accurate description of the chemical evolution of interstellar matter. To achieve this objective, I will improve our chemical model by adding new processes on grain surfaces relevant under the diffuse medium conditions. This upgraded gas-grain model will be coupled to 3D dynamical models of the formation of dense clouds from diffuse medium and of protoplanetary disks from dense clouds. The computed chemical composition will also be used with 3D radiative transfer codes to study the chemical tracers of the physics of protoplanetary disk formation. The robustness of the model predictions will be studied with sensitivity analyses. Finally, model results will be confronted to observations to address some of the current challenges.

1 166 231 €

Start date: 2013-09-01, End date: 2018-08-31

What is responsible for the emergence of homochirality, the almost exclusive use of one enantiomer over its mirror image? And what led to the evolution of life’s homochiral biopolymers, DNA/RNA, proteins and lipids, where all the constituent monomers exhibit the same handedness? Based on in-situ observations and laboratory studies, we propose that this handedness occurs when chiral biomolecules are synthesized asymmetrically through interaction with circularly polarized photons in interstellar space. The ultimate goal of this project will be to demonstrate how the diverse set of heterogeneous enantioenriched molecules, available from meteoritic impact, assembles into homochiral pre-biopolymers, by simulating the evolutionary stages on early Earth. My recent research has shown that the central chiral unit of RNA, ribose, forms readily under simulated comet conditions and this has provided valuable new insights into the accessibility of precursors of genetic material in interstellar environments. The significance of this project arises due to the current lack of experimental demonstration that amino acids, sugars and lipids can simultaneously and asymmetrically be synthesized by a universal physical selection process. A synergistic methodology will be developed to build a unified theory for the origin of all chiral biological building blocks and their assembly into homochiral supramolecular entities. For the first time, advanced analyses of astrophysical-relevant samples, asymmetric photochemistry triggered by circularly polarized synchrotron and laser sources, and chiral amplification due to polymerization processes will be combined. Intermediates and autocatalytic reaction kinetics will be monitored and supported by quantum calculations to understand the underlying processes. A unified theory on the asymmetric formation and self-assembly of life’s biopolymers is groundbreaking and will impact the whole conceptual foundation of the origin of life.

1 500 000 €

Start date: 2019-04-01, End date: 2024-03-31

Although we have extensive knowledge of many important processes in cell biology, including information on many of the molecules involved and the physical interactions among them, we still do not understand most of the dynamical features that are the essence of living systems. This is particularly true for the actin cytoskeleton, a major component of the internal architecture of eukaryotic cells. In living cells, actin networks constantly assemble and disassemble filaments while maintaining an apparent stable structure, suggesting a perfect balance between the two processes. Such behaviors are called “dynamic steady states”. They confer upon actin networks a high degree of plasticity allowing them to adapt in response to external changes and enable cells to adjust to their environments. Despite their fundamental importance in the regulation of cell physiology, the basic mechanisms that control the coordinated dynamics of co-existing actin networks are poorly understood. In the AAA project, first, we will characterize the parameters that allow the coupling among co-existing actin networks at steady state. In vitro reconstituted systems will be used to control the actin nucleation patterns, the closed volume of the reaction chamber and the physical interaction of the networks. We hope to unravel the mechanism allowing the global coherence of a dynamic actin cytoskeleton. Second, we will use our unique capacity to perform dynamic micropatterning, to add or remove actin nucleation sites in real time, in order to investigate the ability of dynamic networks to adapt to changes and the role of coupled network dynamics in this emergent property. In this part, in vitro experiments will be complemented by the analysis of actin network remodeling in living cells. In the end, our project will provide a comprehensive understanding of how the adaptive response of the cytoskeleton derives from the complex interplay between its biochemical, structural and mechanical properties.

2 349 898 €

Start date: 2017-09-01, End date: 2022-08-31

The rupture of an Aortic Aneurysm (AA), which is often lethal, is a mechanical phenomenon that occurs when the wall stress state exceeds the local strength of the tissue. Our current understanding of arterial rupture mechanisms is poor, and the physics taking place at the microscopic scale in these collagenous structures remains an open area of research. Understanding, modelling, and quantifying the micro-mechanisms which drive the mechanical response of such tissue and locally trigger rupture represents the most challenging and promising pathway towards predictive diagnosis and personalized care of AA. The PI's group was recently able to detect, in advance, at the macro-scale, rupture-prone areas in bulging arterial tissues. The next step is to get into the details of the arterial microstructure to elucidate the underlying mechanisms. Through the achievements of AArteMIS, the local mechanical state of the fibrous microstructure of the tissue, especially close to its rupture state, will be quantitatively analyzed from multi-photon confocal microscopy and numerically reconstructed to establish quantitative micro-scale rupture criteria. AArteMIS will also address developing micro-macro models which are based on the collected quantitative data. The entire project will be completed through collaboration with medical doctors and engineers, experts in all required fields for the success of AArteMIS. AArteMIS is expected to open longed-for pathways for research in soft tissue mechanobiology which focuses on cell environment and to enable essential clinical applications for the quantitative assessment of AA rupture risk. It will significantly contribute to understanding fatal vascular events and improving cardiovascular treatments. It will provide a tremendous source of data and inspiration for subsequent applications and research by answering the most fundamental questions on AA rupture behaviour enabling ground-breaking clinical changes to take place.

1 499 783 €

Start date: 2015-04-01, End date: 2020-03-31

The emergence of life is one of the most fascinating and yet largely unsolved questions in the natural sciences, and thus a significant challenge for scientists from many disciplines. There is growing evidence that ribonucleic acid (RNA) polymers, which are capable of genetic information storage and self-catalysis, were involved in the early forms of life. But despite recent progress, RNA synthesis without biological machineries is very challenging. The current project aims at understanding how to synthesize RNA in abiotic conditions. I will solve problems associated with three critical aspects of RNA formation that I will rationalize at a molecular level: (i) accumulation of precursors, (ii) formation of a chemical bond between RNA monomers, and (iii) tolerance for alternative backbone sugars or linkages. Because I will study problems ranging from the formation of chemical bonds up to the stability of large biopolymers, I propose an original computational multi-scale approach combining techniques that range from quantum calculations to large-scale all-atom simulations, employed together with efficient enhanced-sampling algorithms, forcefield improvement, cutting-edge analysis methods and model development. My objectives are the following: 1 • To explain why the poorly-understood thermally-driven process of thermophoresis can contribute to the accumulation of dilute precursors. 2 • To understand why linking RNA monomers with phosphoester bonds is so difficult, to understand the molecular mechanism of possible catalysts and to suggest key improvements. 3 • To rationalize the molecular basis for RNA tolerance for alternative backbone sugars or linkages that have probably been incorporated in abiotic conditions. This unique in-silico laboratory setup should significantly impact our comprehension of life’s origin by overcoming major obstacles to RNA abiotic formation, and in addition will reveal significant orthogonal outcomes for (bio)technological applications.

1 497 031 €

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

Actanthrope intends to promote a neuro-robotics perspective to explore original models of anthropomorphic action. The project targets contributions to humanoid robot autonomy (for rescue and service robotics), to advanced human body simulation (for applications in ergonomics), and to a new theory of embodied intelligence (by promoting a motion-based semiotics of the human action). Actions take place in the physical space while they originate in the –robot or human– sensory-motor space. Geometry is the core abstraction that makes the link between these spaces. Considering that the structure of actions inherits from that of the body, the underlying intuition is that actions can be segmented within discrete sub-spaces lying in the entire continuous posture space. Such sub-spaces are viewed as symbols bridging deliberative reasoning and reactive control. Actanthrope argues that geometric approaches to motion segmentation and generation as promising and innovative routes to explore embodied intelligence: - Motion segmentation: what are the sub-manifolds that define the structure of a given action? - Motion generation: among all the solution paths within a given sub-manifold, what is the underlying law that makes the selection? In Robotics these questions are related to the competition between abstract symbol manipulation and physical signal processing. In Computational Neuroscience the questions refer to the quest of motion invariants. The ambition of the project is to promote a dual perspective: exploring the computational foundations of human action to make better robots, while simultaneously doing better robotics to better understand human action. A unique “Anthropomorphic Action Factory” supports the methodology. It aims at attracting to a single lab, researchers with complementary know-how and solid mathematical background. All of them will benefit from unique equipments, while being stimulated by four challenges dealing with locomotion and manipulation actions.

2 500 000 €

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

"Computer vision is concerned with the automated interpretation of images and video streams. Today's research is (mostly) aimed at answering queries such as ""Is this a picture of a dog?"", (classification) or sometimes ""Find the dog in this photo"" (detection). While categorisation and detection are useful for many tasks, inferring correct class labels is not the final answer to visual recognition. The categories and locations of objects do not provide direct understanding of their function i.e., how things work, what they can be used for, or how they can act and react. Such an understanding, however, would be highly desirable to answer currently unsolvable queries such as ""Am I in danger?"" or ""What can happen in this scene?"". Solving such queries is the aim of this proposal. My goal is to uncover the functional properties of objects and the purpose of actions by addressing visual recognition from a different and yet unexplored perspective. The main novelty of this proposal is to leverage observations of people, i.e., their actions and interactions to automatically learn the use, the purpose and the function of objects and scenes from visual data. The project is timely as it builds upon the two key recent technological advances: (a) the immense progress in visual recognition of objects, scenes and human actions achieved in the last ten years, as well as (b) the emergence of a massive amount of public image and video data now available to train visual models. ACTIVIA addresses fundamental research issues in automated interpretation of dynamic visual scenes, but its results are expected to serve as a basis for ground-breaking technological advances in practical applications. The recognition of functional properties and intentions as explored in this project will directly support high-impact applications such as detection of abnormal events, which are likely to revolutionise today's approaches to crime protection, hazard prevention, elderly care, and many others."

1 497 420 €

Start date: 2013-01-01, End date: 2018-12-31

The numerical simulation of complex compressible flow problem is still a challenge nowaday even for simple models. In our opinion, the most important hard points that need currently to be tackled and solved is how to obtain stable, scalable, very accurate, easy to code and to maintain schemes on complex geometries. The method should easily handle mesh refinement, even near the boundary where the most interesting engineering quantities have to be evaluated. Unsteady uncertainties in the model, for example in the geometry or the boundary conditions should represented efficiently.This proposal goal is to design, develop and evaluate solutions to each of the above problems. Our work program will lead to significant breakthroughs for flow simulations. More specifically, we propose to work on 3 connected problems: 1-A class of very high order numerical schemes able to easily deal with the geometry of boundaries and still can solve steep problems. The geometry is generally defined by CAD tools. The output is used to generate a mesh which is then used by the scheme. Hence, any mesh refinement process is disconnected from the CAD, a situation that prevents the spread of mesh adaptation techniques in industry! 2-A class of very high order numerical schemes which can utilize possibly solution dependant basis functions in order to lower the number of degrees of freedom, for example to compute accurately boundary layers with low resolutions. 3-A general non intrusive technique for handling uncertainties in order to deal with irregular probability density functions (pdf) and also to handle pdf that may evolve in time, for example thanks to an optimisation loop. The curse of dimensionality will be dealt thanks Harten's multiresolution method combined with sparse grid methods. Currently, and up to our knowledge, no scheme has each of these properties. This research program will have an impact on numerical schemes and industrial applications.

1 432 769 €

Start date: 2008-12-01, End date: 2013-11-30

"The proposed research program has three main objectives. The first and second objectives are to seek extreme precisions in optical atomic spectroscopy and optical clocks, and to use this quest as a mean of exploration in atomic physics. The third objective is to explore new possibilities that stem from extreme precision. These goals will be pursued via three complementary activities: #1: Search for extreme precisions with an Hg optical lattice clock. #2: Explore and exploit the rich Hg system, which is essentially unexplored in the cold and ultra-cold regime. #3: Identify new applications of clocks with extreme precision to Earth science. Clocks can measure directly the gravitational potential via Einstein’s gravitational redshift, leading to the idea of “clock-based geodesy”. The 2 first activities are experimental and build on an existing setup, where we demonstrated the feasibility of an Hg optical lattice clock. Hg is chosen for its potential to surpass competing systems. We will investigate the unexplored physics of the Hg clock. This includes interactions between Hg atoms, lattice-induced light shifts, and sensitivity to external fields which are specific to the atomic species. Beyond, we will explore the fundamental limits of the optical lattice scheme. We will exploit other remarkable features of Hg associated to the high atomic number and the diversity of stable isotopes. These features enable tests of fundamental physical laws, ultra-precise measurements of isotope shifts, measurement of collisional properties toward evaporative cooling and quantum gases of Hg, investigation of forbidden transitions promising for measuring the nuclear anapole moment of Hg. The third activity is theoretical and is aimed at initiating collaborations with experts in modelling Earth gravity. With this expertise, we will identify the most promising and realistic approaches for clocks and emerging remote comparison methods to contribute to geodesy, hydrology, oceanography, etc."

1 946 432 €

Start date: 2014-04-01, End date: 2019-03-31

Fundamental interactions in nature are well described by quantum gauge fields in 4 space-time dimensions (4d). When the strength of gauge interaction is weak the Feynman perturbation techniques are very efficient for the description of most of the experimentally observable consequences of the Standard model and for the study of high energy processes in QCD. But in the intermediate and strong coupling regime, such as the relatively small energies in QCD, the perturbation theory fails leaving us with no reliable analytic methods (except the Monte-Carlo simulation). The project aims at working out new analytic and computational methods for strongly coupled gauge theories in 4d. We will employ for that two important discoveries: 1) the gauge-string duality (AdS/CFT correspondence) relating certain strongly coupled gauge Conformal Field Theories to the weakly coupled string theories on Anty-deSitter space; 2) the solvability, or integrability of maximally supersymmetric (N=4) 4d super Yang-Mills (SYM) theory in multicolor limit. Integrability made possible pioneering exact numerical and analytic results in the N=4 multicolor SYM at any coupling, effectively summing up all 4d Feynman diagrams. Recently, we conjectured a system of functional equations - the AdS/CFT Y-system – for the exact spectrum of anomalous dimensions of all local operators in N=4 SYM. The conjecture has passed all available checks. My project is aimed at the understanding of origins of this, still mysterious integrability. Deriving the AdS/CFT Y-system from the first principles on both sides of gauge-string duality should provide a long-awaited proof of the AdS/CFT correspondence itself. I plan to use the Y-system to study the systematic weak and strong coupling expansions and the so called BFKL limit, as well as for calculation of multi-point correlation functions of N=4 SYM. We hope on new insights into the strong coupling dynamics of less supersymmetric gauge theories and of QCD.

1 456 140 €

Start date: 2013-11-01, End date: 2018-10-31

Arctic sea ice decline is the exponent of the rapidly transforming Arctic climate. The ensuing local and global implications can be understood by studying past climate transitions, yet few methods are available to examine past Arctic sea ice cover, severely restricting our understanding of sea ice in the climate system. The decline in Arctic sea ice cover is a ‘canary in the coalmine’ for the state of our climate, and if greenhouse gas emissions remain unchecked, summer sea ice loss may pass a critical threshold that could drastically transform the Arctic. Because historical observations are limited, it is crucial to have reliable proxies for assessing natural sea ice variability, its stability and sensitivity to climate forcing on different time scales. Current proxies address aspects of sea ice variability, but are limited due to a selective fossil record, preservation effects, regional applicability, or being semi-quantitative. With such restraints on our knowledge about natural variations and drivers, major uncertainties about the future remain. I propose to develop and apply a novel sea ice proxy that exploits genetic information stored in marine sediments, sedimentary ancient DNA (sedaDNA). This innovation uses the genetic signature of phytoplankton communities from surface waters and sea ice as it gets stored in sediments. This wealth of information has not been explored before for reconstructing sea ice conditions. Preliminary results from my cross-disciplinary team indicate that our unconventional approach can provide a detailed, qualitative account of past sea ice ecosystems and quantitative estimates of sea ice parameters. I will address fundamental questions about past Arctic sea ice variability on different timescales, information essential to provide a framework upon which to assess the ecological and socio-economic consequences of a changing Arctic. This new proxy is not limited to sea ice research and can transform the field of paleoceanography.

2 615 858 €

Start date: 2019-08-01, End date: 2024-07-31

The goal of this project is to investigate two conjectures in arithmetic geometry pertaining to the geometry of projective varieties over finite and number fields. These two conjectures, formulated by Tate and Grothendieck in the 1960s, predict which cohomology classes are chern classes of line bundles. They both form an arithmetic counterpart of a theorem of Lefschetz, proved in the 1940s, which itself is the only known case of the Hodge conjecture. These two long-standing conjectures are one of the aspects of a more general web of questions regarding the topology of algebraic varieties which have been emphasized by Grothendieck and have since had a central role in modern arithmetic geometry. Special cases of these conjectures, appearing for instance in the work of Tate, Deligne, Faltings, Schneider-Lang, Masser-Wüstholz, have all had important consequences. My goal is to investigate different lines of attack towards these conjectures, building on recent work on myself and Jean-Benoît Bost on related problems. The two main directions of the proposal are as follows. Over finite fields, the Tate conjecture is related to finiteness results for certain cohomological objects. I want to understand how to relate these to hidden boundedness properties of algebraic varieties that have appeared in my recent geometric proof of the Tate conjecture for K3 surfaces. The existence and relevance of a theory of Donaldson invariants for moduli spaces of twisted sheaves over finite fields seems to be a promising and novel direction. Over number fields, I want to combine the geometric insight above with algebraization techniques developed by Bost. In a joint project, we want to investigate how these can be used to first understand geometrically major results in transcendence theory and then attack the Grothendieck period conjecture for divisors via a number-theoretic and complex-analytic understanding of universal vector extensions of abelian schemes over curves.

1 222 329 €

Start date: 2016-12-01, End date: 2021-11-30

A massive and ever growing amount of digital image and video content is available today, on sites such as Flickr and YouTube, in audiovisual archives such as those of BBC and INA, and in personal collections. In most cases, it comes with additional information, such as text, audio or other metadata, that forms a rather sparse and noisy, yet rich and diverse source of annotation, ideally suited to emerging weakly supervised and active machine learning technology. The ALLEGRO project will take visual recognition to the next level by using this largely untapped source of data to automatically learn visual models. The main research objective of our project is the development of new algorithms and computer software capable of autonomously exploring evolving data collections, selecting the relevant information, and determining the visual models most appropriate for different object, scene, and activity categories. An emphasis will be put on learning visual models from video, a particularly rich source of information, and on the representation of human activities, one of today's most challenging problems in computer vision. Although this project addresses fundamental research issues, it is expected to result in significant advances in high-impact applications that range from visual mining of the Web and automated annotation and organization of family photo and video albums to large-scale information retrieval in television archives.

2 493 322 €

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

The field of disordered quantum gases is developing rapidly. Dramatic progress has been achieved recently and first experimental observation of one-dimensional Anderson localization (AL) of matterwaves has been reported using Bose-Einstein condensates in controlled disorder (in our group at Institut d'Optique and at LENS; Nature, 2008). This dramatic success results from joint theoretical and experimental efforts, we have contributed to. Most importantly, it opens unprecedented routes to pursue several outstanding challenges in the multidisciplinary field of disordered systems, which, after fifty years of Anderson localization, is more active than ever. This theoretical project aims at further developing the emerging field of disordered quantum gases towards novel challenges. Our aim is twofold. First, we will propose and analyze schemes where experiments on ultracold atoms can address unsolved issues: AL in dimensions higher than one, effects of inter-atomic interactions on AL, strongly-correlated disordered gases and quantum simulators for spin systems (spin glasses). Second, by taking into account specific features of ultracold atoms, beyond standard toy-models, we will raise and study new questions which have not been addressed before (eg long-range correlations of speckle potentials, finite-size effects, controlled interactions). Both aspects would open new frontiers to disordered quantum gases and offer new possibilities to shed new light on highly debated issues. Our main concerns are thus to (i) study situations relevant to experiments, (ii) develop new approaches, applicable to ultracold atoms, (iii) identify key observables, and (iv) propose new challenging experiments. In this project, we will benefit from the original situation of our theory team: It is independent but forms part of a larger group (lead by A. Aspect), which is a world-leader in experiments on disordered quantum gases, we have already developed close collaborative relationship with.

985 200 €

Start date: 2011-01-01, End date: 2015-12-31

Applied electrochemistry plays a key role in many technologies, such as batteries, fuel cells, supercapacitors or solar cells. It is therefore at the core of many research programs all over the world. Yet, fundamental electrochemical investigations remain scarce. In particular, electrochemistry is among the fields for which the gap between theory and experiment is the largest. From the computational point of view, there is no molecular dynamics (MD) software devoted to the simulation of electrochemical systems while other fields such as biochemistry (GROMACS) or material science (LAMMPS) have dedicated tools. This is due to the difficulty of accounting for complex effects arising from (i) the degree of metallicity of the electrode (i.e. from semimetals to perfect conductors), (ii) the mutual polarization occurring at the electrode/electrolyte interface and (iii) the redox reactivity through explicit electron transfers. Current understanding therefore relies on standard theories that derive from an inaccurate molecular-scale picture. My objective is to fill this gap by introducing a whole set of new methods for simulating electrochemical systems. They will be provided to the computational electrochemistry community as a cutting-edge MD software adapted to supercomputers. First applications will aim at the discovery of new electrolytes for energy storage. Here I will focus on (1) ‘‘water-in-salts’’ to understand why these revolutionary liquids enable much higher voltage than conventional solutions (2) redox reactions inside a nanoporous electrode to support the development of future capacitive energy storage devices. These selected applications are timely and rely on collaborations with leading experimental partners. The results are expected to shed an unprecedented light on the importance of polarization effects on the structure and the reactivity of electrode/electrolyte interfaces, establishing MD as a prominent tool for solving complex electrochemistry problems.

1 588 769 €

Start date: 2018-04-01, End date: 2023-03-31

This proposal is devoted to the applications of a new hypoelliptic Dirac operator, whose analytic properties have been studied by Lebeau and myself. Its construction connects classical Hodge theory with the geodesic flow, and more generally any geometrically defined Hodge Laplacian with a dynamical system on the cotangent bundle. The proper description of this object can be given in analytic, index theoretic and probabilistic terms, which explains both its potential many applications, and also its complexity.

1 112 400 €

Start date: 2012-02-01, End date: 2017-01-31

I propose to use large clouds of cold Ytterbium atoms to observe Anderson localization of light in three dimensions, which has challenged theoreticians and experimentalists for many decades. After the prediction by Anderson of a disorder-induced conductor to insulator transition for electrons, light has been proposed as ideal non interacting waves to explore coherent transport properties in the absence of interactions. The development in experiments and theory over the past several years have shown a route towards the experimental realization of this phase transition. Previous studies on Anderson localization of light using semiconductor powders or dielectric particles have shown that intrinsic material properties, such as absorption or inelastic scattering of light, need to be taken into account in the interpretation of experimental signatures of Anderson localization. Laser-cooled clouds of atoms avoid the problems of samples used so far to study Anderson localization of light. Ab initio theoretical models, available for cold Ytterbium atoms, have shown that the mere high spatial density of the scattering sample is not sufficient to allow for Anderson localization of photons in three dimensions, but that an additional magnetic field or additional disorder on the level shifts can induce a phase transition in three dimensions. The role of disorder in atom-light interactions has important consequences for the next generation of high precision atomic clocks and quantum memories. By connecting the mesoscopic physics approach to quantum optics and cooperative scattering, this project will allow better control of cold atoms as building blocks of future quantum technologies. Time-resolved transport experiments will connect super- and subradiant assisted transmission with the extended and localized eigenstates of the system. Having pioneered studies on weak localization and cooperative scattering enables me to diagnostic strong localization of light by cold atoms.

2 490 717 €

Start date: 2019-10-01, End date: 2024-09-30

Finite automata are fundamental objects in Computer Science, of great importance on one hand for theoretical aspects (formal language theory, decidability, complexity) and on the other for practical applications (parsing). In number theory, finite automata are mainly used as simple devices for generating sequences of symbols over a finite set (e.g., digital representations of real numbers), and for recognizing some sets of integers or more generally of finitely generated abelian groups or monoids. One of the main features of these automatic structures comes from the fact that they are highly ordered without necessarily being trivial (i.e., periodic). With their rich fractal nature, they lie somewhere between order and chaos, even if, in most respects, their rigidity prevails. Over the last few years, several ground-breaking results have lead to a great renewed interest in the study of automatic structures in arithmetics. A primary objective of the ANT project is to exploit this opportunity by developing new directions and interactions between automata and number theory. In this proposal, we outline three lines of research concerning fundamental number theoretical problems that have baffled mathematicians for decades. They include the study of integer base expansions of classical constants, of arithmetical linear differential equations and their link with enumerative combinatorics, and of arithmetics in positive characteristic. At first glance, these topics may seem unrelated, but, surprisingly enough, the theory of finite automata will serve as a natural guideline. We stress that this new point of view on classical questions is a key part of our methodology: we aim at creating a powerful synergy between the different approaches we propose to develop, placing automata theory and related methods at the heart of the subject. This project provides a unique opportunity to create the first international team focusing on these different problems as a whole.

1 438 745 €

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

Single-photon sources (SPSs) are systems capable of emitting photons one by one. These sources are of major importance for quantum-information science and applications. SPSs experiments generally rely on the optical excitation of two level systems of atomic-scale dimensions (single-molecules, vacancies in diamond…). Many fundamental questions related to the nature of these sources and the impact of their environment remain to be explored: Can SPSs be addressed with atomic-scale spatial accuracy? How do the nanometer-scale distance or the orientation between two (or more) SPSs affect their emission properties? Does coherence emerge from the proximity between the sources? Do these structures still behave as SPSs or do they lead to the emission of correlated photons? How can we then control the degree of entanglement between the sources? Can we remotely excite the emission of these sources by using molecular chains as charge-carrying wires? Can we couple SPSs embodied in one or two-dimensional arrays? How does mechanical stress or localised plasmons affect the properties of an electrically-driven SPS? Answering these questions requires probing, manipulating and exciting SPSs with an atomic-scale precision. This is beyond what is attainable with an all-optical method. Since they can be confined to atomic-scale pathways we propose to use electrons rather than photons to excite the SPSs. This unconventional approach provides a direct access to the atomic-scale physics of SPSs and is relevant for the implementation of these sources in hybrid devices combining electronic and photonic components. To this end, a scanning probe microscope will be developed that provides simultaneous spatial, chemical, spectral, and temporal resolutions. Single-molecules and defects in monolayer transition metal dichalcogenides are SPSs that will be studied in the project, and which are respectively of interest for fundamental and more applied issues.

1 996 848 €

Start date: 2018-06-01, End date: 2023-05-31

Tip-enhanced Raman spectroscopy (TERS) is often described as the most powerful tool for optical characterization of surfaces and their proximities. It combines the intrinsic spatial resolution of scanning probe techniques (AFM or STM) with the chemical information content of vibrational Raman spectroscopy. Capable to reveal surface heterogeneity at the nanoscale, TERS is currently playing a fundamental role in the understanding of interfacial physicochemical processes in key areas of science and technology such as chemistry, biology and material science. Unfortunately, the undeniable potential of TERS as a label-free tool for nanoscale chemical and structural characterization is, nowadays, limited to air and vacuum environments, with it failing to operate in a reliable and systematic manner in liquid. The reasons are more technical than fundamental, as what is hindering the application of TERS in water is, among other issues, the low stability of the probes and their consistency. Fields of science and technology where the presence of water/electrolyte is unavoidable, such as biology and electrochemistry, remain unexplored with this powerful technique. We propose a revolutionary approach for TERS in liquids founded on the employment of pipet-based scanning probe microscopy techniques (pb-SPM) as an alternative to AFM and STM. The use of recent but well established pb-SPM brings the opportunity to develop unprecedented pipet-based TERS probes (beyond the classic and limited metallized solid probes from AFM and STM), together with the implementation of ingenious and innovative measures to enhance tip stability, sensitivity and reliability, unattainable with the current techniques. We will be in possession of a unique nano-spectroscopy platform capable of experiments in liquids, to follow dynamic processes in-situ, addressing fundamental questions and bringing insight into interfacial phenomena spanning from materials science, physics, chemistry and biology.

1 528 442 €

Start date: 2017-07-01, End date: 2022-06-30

The goal of this project is to prepare in a deterministic way, and then to characterize, various entangled states of up to 25 individual atoms held in an array of optical tweezers. Such a system provides a new arena to explore quantum entangled states of a large number of particles. Entanglement is the existence of quantum correlations between different parts of a system, and it is recognized as an essential property that distinguishes the quantum and the classical worlds. It is also a resource in various areas of physics, such as quantum information processing, quantum metrology, correlated quantum systems and quantum simulation. In the proposed design, each site is individually addressable, which enables single atom manipulation and detection. This will provide the largest entangled state ever produced and fully characterized at the individual particle level. The experiment will be implemented by combining two crucial novel features, that I was able to demonstrate very recently: first, the manipulation of quantum bits written on long-lived hyperfine ground states of single ultra-cold atoms trapped in microscopic optical tweezers; second, the generation of entanglement by using the strong long-range interactions between Rydberg states. These interactions lead to the so-called dipole blockade , and enable the preparation of various classes of entangled states, such as states carrying only one excitation (W states), and states analogous to Schrödinger s cats (GHZ states). Finally, I will also explore strategies to protect these states against decoherence, developed in the framework of fault-tolerant and topological quantum computing. This project therefore combines an experimental challenge and the exploration of entanglement in a mesoscopic system.

1 449 600 €

Start date: 2009-12-01, End date: 2014-11-30

Redox chemistry provides the fundamental basis for numerous energy-related electrochemical devices, among which Li-ion batteries (LIB) have become the premier energy storage technology for portable electronics and vehicle electrification. Throughout its history, LIB technology has relied on cationic redox reactions as the sole source of energy storage capacity. This is no longer true. In 2013 we demonstrated that Li-driven reversible formation of (O2)n peroxo-groups in new layered oxides led to extraordinary increases in energy storage capacity. This finding, which is receiving worldwide attention, represents a transformational approach for creating advanced energy materials for not only energy storage, but also water splitting applications as both involve peroxo species. However, as is often the case with new discoveries, the fundamental science at work needs to be rationalized and understood. Specifically, what are the mechanisms for ion and electron transport in these Li-driven anionic redox reactions? To address these seminal questions and to widen the spectrum of materials (transition metal and anion) showing anionic redox chemistry, we propose a comprehensive research program that combines experimental and computational methods. The experimental methods include structural and electrochemical analyses (both ex-situ and in-situ), and computational modeling will be based on first-principles DFT for identifying the fundamental processes that enable anionic redox activity. The knowledge gained from these studies, in combination with our expertise in inorganic synthesis, will enable us to design a new generation of Li-ion battery materials that exhibit substantial increases (20 -30%) in energy storage capacity, with additional impacts on the development of Na-ion batteries and the design of water splitting catalysts, with the feasibility to surpass current water splitting efficiencies via novel (O2)n-based electrocatalysts.

2 249 196 €

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

The aim of this project is to develop and to demonstrate a novel theoretical framework devoted to rationalizing the formulation of composite electrodes containing next-generation material chemistries for high energy density secondary batteries. The framework will be established through the combination of discrete particle and continuum mathematical models within a multiscale computational workflow integrating the individual models and mimicking the different steps along the electrode fabrication process, including slurry preparation, drying and calendering. Strongly complemented by dedicated experimental characterizations which are devoted to its validation, the goal of this framework is to provide insights about the impacts of material properties and fabrication process parameters on the electrode mesostructures and their corresponding correlation to the resulting electrochemical performance. It targets self-organization mechanisms of material mixtures in slurries by considering the interactions between the active and conductive materials, solvent, binders and dispersants and the relationship between the materials properties such as surface chemistry and wettability. Optimal electrode formulation, fabrication process and the arising electrode mesostructure can then be achieved. Additionally, the framework will be integrated into an online and open access infrastructure, allowing predictive direct and reverse engineering for optimized electrode designs to attain high quality electrochemical performances. Through the demonstration of a multidisciplinary, flexible and transferable framework, this project has tremendous potential to provide insights leading to proposals of new and highly efficient industrial techniques for the fabrication of cheaper and reliable next-generation secondary battery electrodes for a wide spectrum of applications, including Electric Transportation.

1 976 445 €

Start date: 2018-04-01, End date: 2023-03-31

Which molecules are present in the atmosphere of exoplanets? What are their mass, radius and age? Do they have clouds, convection (atmospheric turbulence), fingering convection, or a circulation induced by irradiation? These questions are fundamental in exoplanetology in order to study issues such as planet formation and exoplanet habitability. Yet, the impact of fingering convection and circulation induced by irradiation remain poorly understood: - Fingering convection (triggered by gradients of mean-molecular-weight) has already been suggested to happen in stars (accumulation of heavy elements) and in brown dwarfs and exoplanets (chemical transition e.g. CO/CH4). A large-scale efficient turbulent transport of energy through the fingering instability can reduce the temperature gradient in the atmosphere and explain many observed spectral properties of brown dwarfs and exoplanets. Nonetheless, this large-scale efficiency is not yet characterized and standard approximations (Boussinesq) cannot be used to achieve this goal. - The interaction between atmospheric circulation and the fingering instability is an open question in the case of irradiated exoplanets. Fingering convection can change the location and magnitude of the hot spot induced by irradiation, whereas the hot deep atmosphere induced by irradiation can change the location of the chemical transitions that trigger the fingering instability. This project will characterize the impact of fingering convection in the atmosphere of stars, brown dwarfs, and exoplanets and its interaction with the circulation in the case of irradiated planets. By developing innovative numerical models, we will characterize the reduction of the temperature gradient of the atmosphere induced by the instability and study the impact of the circulation. We will then predict and interpret the mass, radius, and chemical composition of exoplanets that will be observed with future missions such as the James Webb Space Telescope (JWST).

1 500 000 €

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

We propose to investigate a new frontier in Physics: the study of Magnetic systems using attosecond laser pulses. The main disciplines concerned are: Ultrafast laser sciences, Magnetism and Spin-Photonics, Relativistic Quantum Electrodynamics. Three issues of modern magnetism are addressed. 1. How fast can one modify and control the magnetization of a magnetic system ? 2. What is the role and essence of the coherent interaction between light and spins ? 3. How far spin-photonics can bring us to the real world of data acquisition and storage ? - We want first to provide solid ground experiments, unravelling the mechanisms involved in the demagnetization induced by laser pulses in a variety of magnetic materials (ferromagnetic nanostructures, aggregates and molecular magnets). We will explore the ultrafast magnetization dynamics of magnets using an attosecond laser source. - Second we want to explore how the photon field interacts with the spins. We will investigate the dynamical regime when the potential of the atoms is dressed by the Coulomb potential induced by the laser field. A strong support from the relativistic Quantum Electro-Dynamics is necessary towards that goal. - Third, even though our general approach is fundamental, we want to provide a benchmark of what is realistically possible in ultrafast spin-photonics, breaking the conventional thought that spin photonics is hard to implement at the application level. We will realize ultimate devices combining magneto-optical microscopy with the conventional magnetic recording. This new field will raise the interest of a number of competitive laboratories at the international level. Due to the overlapping disciplines the project also carries a large amount of educational impact both fundamental and applied.

2 492 561 €

Start date: 2010-05-01, End date: 2015-04-30

Knowledge of the state of the Earth mantle and its temporal evolution is fundamental to a variety of disciplines in Earth Sciences, from the internal dynamics to its many expressions in the geological record (postglacial rebound, sea level change, ore deposit, tectonics or geomagnetic reversals). Mantle convection theory is the centerpiece to unravel the present and past state of the mantle. For the past 40 years considerable efforts have been made to improve the quality of numerical models of mantle convection. However, they are still sparsely used to estimate the convective history of the solid Earth, in comparison to ocean or atmospheric models for weather and climate prediction. The main shortcoming is their inability to successfully produce Earth-like seafloor spreading and continental drift self-consistently. Recent convection models have begun to successfully predict these processes (Coltice et al., Science 336, 335-33, 2012). Such breakthrough opens the opportunity to combine high-level data assimilation methodologies and convection models together with advanced tectonic datasets to retrieve Earth's mantle history. The scope of this project is to produce a new generation of tectonic and convection reconstructions, which are key to improve our understanding and knowledge of the evolution of the solid Earth. The development of sustainable high performance numerical models will set new standards for geodynamic data assimilation. The outcome of the AUGURY project will be a new generation of models crucial to a wide variety of disciplines.

1 994 000 €

Start date: 2014-03-01, End date: 2020-02-29

One of the ultimate goals in cell biology is to understand how cells determine their shape. In bacteria, the cell wall and the actin-like (MreB) cytoskeleton are major determinants of cell shape. As a hallmark of microbial life, the external cell wall is the most conspicuous macromolecule expanding in concert with cell growth and one of the most prominent targets for antibiotics. Despite decades of study, the mechanism of cell wall morphogenesis remains poorly understood. In rod-shaped bacteria, actin-like MreB proteins assemble into disconnected membrane-associated structures (patches) that move processively around the cell periphery and are thought to control shape by spatiotemporally organizing macromolecular machineries that effect sidewall elongation. However, the ultrastructure of MreB assemblies and the mechanistic details underlying their morphogenetic function remain to be elucidated. The aim of this project is to combine ground-breaking light microscopy and spectroscopy techniques with cutting-edge genetic, biochemical and systems biology approaches available in the model rod-shaped bacterium Bacillus subtilis to elucidate how MreB and cell wall biosynthetic enzymes collectively act to build a cell. Within this context, new features of MreB assemblies will be determined in vivo and in vitro, and a “toolbox” of approaches to determine the modes of action of antibiotics targeting cell wall processes will be developed. Parameters measured by the different approaches will be used to refine a mathematical model aiming to quantitatively describe the features of bacterial cell wall growth. The long-term goals of BActin are to understand general principles of bacterial cell morphogenesis and to provide mechanistic templates and new reporters for the screening of novel antibiotics.

1 902 195 €

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

The key ideas motivating this project are that: 1) precise control of the properties of porous systems can be obtained by exploiting bacteria and their fantastic abilities; 2) conversely, porous media (large surface to volume ratios, complex structures) could be a major part of bacterial synthetic biology, as a scaffold for growing large quantities of microorganisms in controlled bioreactors. The main scientific obstacle to precise control of such processes is the lack of understanding of biophysical mechanisms in complex porous structures, even in the case of single-strain biofilms. The central hypothesis of this project is that a better fundamental understanding of biofilm biomechanics and physical ecology will yield a novel theoretical basis for engineering and control. The first scientific objective is thus to gain insight into how fluid flow, transport phenomena and biofilms interact within connected multiscale heterogeneous structures - a major scientific challenge with wide-ranging implications. To this end, we will combine microfluidic and 3D printed micro-bioreactor experiments; fluorescence and X-ray imaging; high performance computing blending CFD, individual-based models and pore network approaches. The second scientific objective is to create the primary building blocks toward a control theory of bacteria in porous media and innovative designs of microbial bioreactors. Building upon the previous objective, we first aim to extract from the complexity of biological responses the most universal engineering principles applying to such systems. We will then design a novel porous micro-bioreactor to demonstrate how the permeability and solute residence times can be controlled in a dynamic, reversible and stable way - an initial step toward controlling reaction rates. We envision that this will unlock a new generation of biotechnologies and novel bioreactor designs enabling translation from proof-of-concept synthetic microbiology to industrial processes.

1 649 861 €

Start date: 2019-01-01, End date: 2023-12-31

This proposal addresses a pressing need from emerging big data applications such as genomics and data center monitoring: besides the scale of processing, big data systems must also enable perpetual, low-latency processing for a broad set of analytical tasks, referred to as big and fast data analysis. Today’s technology falls severely short for such needs due to the lack of support of complex analytics with scale, low latency, and strong guarantees of user performance requirements. To bridge the gap, this proposal tackles a grand challenge: “How do we design an algorithmic foundation that enables the development of all necessary pillars of big and fast data analysis?” This proposal considers three pillars: 1) Parallelism: There is a fundamental tension between data parallelism (for scale) and pipeline parallelism (for low latency). We propose new approaches based on intelligent use of memory and workload properties to integrate both forms of parallelism. 2) Analytics: The literature lacks a large body of algorithms for critical order-related analytics to be run under data and pipeline parallelism. We propose new algorithmic frameworks to enable such analytics. 3) Optimization: To run analytics, today's big data systems are best effort only. We transform such systems into a principled optimization framework that suits the new characteristics of big data infrastructure and adapts to meet user performance requirements. The scale and complexity of the proposed algorithm design makes this project high-risk, at the same time, high-gain: it will lay a solid foundation for big and fast data analysis, enabling a new integrated parallel processing paradigm, algorithms for critical order-related analytics, and a principled optimizer with strong performance guarantees. It will also broadly enable accelerated information discovery in emerging domains such as genomics, as well as economic benefits of early, well-informed decisions and reduced user payments.

2 472 752 €

Start date: 2017-09-01, End date: 2022-08-31

The overall objective of the proposal is to develop enabling chemical technologies to address two important problems in biology: detect in a nondestructive fashion gene expression or microRNA sequences in vivo and, secondly, study the role of multivalency and spatial organization in carbohydrate recognition. Both of these projects exploit the programmable pre-organization of peptide nucleic acid (PNA) to induce a chemical reaction in the first case or modulate a ligand-receptor interaction in the second case. For nucleic acid detection, a DNA or RNA fragment will be utilized to bring two PNA fragments bearing reactive functionalities in close proximity thereby promoting a reaction. Two types of reactions are proposed, the first one to release a fluorophore for imaging purposes and the second one to release a drug as an “intelligent” therapeutic. If affinities are programmed such that hybridization is reversible, the template can work catalytically leading to large amplifications. As a proof of concept, this method will be used to measure the transcription level of genes implicated in stem cell differentiation and detect mutations in oncogenes. For the purpose of studying multivalent carbohydrate ligand architectures, the challenge of chemical synthesis has been a limiting factor. A supramolecular approach is proposed herein where different arrangements of carbohydrates can be displayed in a well organized fashion by hybridizing PNA-tagged carbohydrates to DNA templates. This will be used not only to control the distance between multiple ligands or to create combinatorial arrangements of hetero ligands but also to access more complex architectures such as Hollyday junctions. The oligosaccharide units will be prepared using de novo organoctalytic reactions. This technology will be first applied to probe the recognition events between HIV and dendritic cells which promote HIV infection.

1 249 980 €

Start date: 2008-07-01, End date: 2013-06-30

Tissue morphogenesis is a complex process that emerges from spatially controlled patterns of cell shape changes. Dedicated genetic programmes regulate cell behaviours, exemplified in animals by the specification of apical constriction in invaginating epithelial tissues, or the orientation of cell intercalation during tissue extension. This genetic control is constrained by physical properties of cells that dictate how they can modify their shape. A major challenge is to understand how biochemical pathways control subcellular mechanics in epithelia, such as how forces are produced by interactions between actin filaments and myosin motors, and how these forces are transmitted at cell junctions. The major objective of our project is to investigate the fundamental principles of epithelial mechanics and to understand how intercellular signals and mechanical coupling between cells coordinate individual behaviours at the tissue level. We will study early Drosophila embryogenesis and combine quantitative cell biological studies of cell dynamics, biophysical characterization of cell mechanics and genetic control of cell signalling to answer the following questions: i) how are forces generated, in particular what underlies deformation and stabilization of cell shape by actomyosin networks, and pulsatile contractility; ii) how are forces transmitted at junctions, what are the feedback interactions between tension generation and transmission; iii) how are individual cell mechanics orchestrated at the tissue level to yield collective tissue morphogenesis? We expect to encapsulate the information-based, cell biological and physical descriptions of morphogenesis in a single, coherent framework. The project should impact more broadly on morphogenesis in other organisms and shed light on the mechanisms underlying robustness and plasticity in epithelia.

2 473 313 €

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

This project will focus on the use of nanoporous metal organic frameworks (Fe, Zn, Ti) for bioapplications. These systems are exciting porous solids, built up from inorganic clusters and polycarboxylates. This results in open-framework solids with different pore shapes and dimensions, and applications such as catalysis, separation and storage of gases. I have recently initiated the synthesis of new trivalent transition metal carboxylates. Among them, the metal carboxylates MIL-100 and MIL-101 (MIL: Materials of Institut Lavoisier) are spectacular solids with giant pores (25-34 Å), accessible metal sites and huge surface areas (3100-5900 m2.g-1). Recently, it was shown that these solids could be used for drug delivery with a loading of 1.4 g of Ibuprofen per gram of MIL-101 solid and a total release in six days. This project will concentrate on the implication of MOFs for drug release and other bioapplications. Whereas research on drug delivery is currently focused either on the use of bio-compatible polymers or mesoporous materials, our method will combine advantages of both routes including a high loading and a slow release of therapeutic molecules. A second application will use solids with accessible metal sites to coordinate NO for its controlled delivery. This would provide exogenous NO for prophylactic and therapeutic processes, anti-thrombogenic medical devices, improved dressings for wounds and ulcers, and the treatment of fungal and bacterial infections. Finally, other applications will be envisaged such as the purification of physiological fluids. The project, which will consist of a systematic study of the relation between these properties and both the composition and structure of the hybrid solids, will be assisted by a strong modelling effort including top of the art computational methods (QSAR and QSPKR). This highly impact project will be realised by assembling experienced researchers in multidisplinary areas including materials science, biology and modelling. It will involve P. Horcajada (Institut Lavoisier), whose background in pharmaceutical science will fit with my experience in inorganic chemistry and G. Maurin (Institut Gerhardt, Montpellier) expert in computational chemistry.

1 250 000 €

Start date: 2008-06-01, End date: 2013-05-31

"The ability to apply forces to single molecules and bio-polymers has fundamentally changed the way we can interact with and understand biological systems. Yet, for many cellular mechanisms, it is rather the torque that is the relevant physical parameter. Excitingly, novel single-molecule techniques that utilize this parameter are now poised to contribute to novel discoveries. Here, I will study the angular dynamical behavior and response to external torque of biological systems at the molecular and cellular levels using the new optical torque wrench that I recently developed. In a first research line, I will unravel the angular dynamics of the e.coli flagellar motor, a complex and powerful rotary nano-motor that rotates the flagellum in order to propel the bacterium forwards. I will quantitatively study different aspects of torque generation of the motor, aiming to connect evolutionary, dynamical, and structural principles. In a second research line, I will develop an in-vivo manipulation technique based on the transfer of optical torque and force onto novel nano-fabricated particles. This new scanning method will allow me to map physical properties such as the local viscosity inside living cells and the spatial organization and topography of internal membranes, thereby expanding the capabilities of existing techniques towards in-vivo and ultra-low force scanning imaging. This project is founded on a multidisciplinary approach in which fundamental optics, novel nanoparticle fabrication, and molecular and cellular biology are integrated. It has the potential to answer biophysical questions that have challenged the field for over two decades and to impact fields ranging from single-molecule biophysics to scanning-probe microscopy and nanorheology, provided ERC funding is granted."

1 500 000 €

Start date: 2013-01-01, End date: 2017-12-31

The detection of primordial gravity waves created during the Big Bang ranks among the greatest potential intellectual achievements in modern science. During the last few decades, the instrumental progress necessary to achieve this has been nothing short of breathtaking, and we today are able to measure the microwave sky with better than one-in-a-million precision. However, from the latest ultra-sensitive experiments such as BICEP2 and Planck, it is clear that instrumental sensitivity alone will not be sufficient to make a robust detection of gravitational waves. Contamination in the form of astrophysical radiation from the Milky Way, for instance thermal dust and synchrotron radiation, obscures the cosmological signal by orders of magnitude. Even more critically, though, are second-order interactions between this radiation and the instrument characterization itself that lead to a highly non-linear and complicated problem. I propose a ground-breaking solution to this problem that allows for joint estimation of cosmological parameters, astrophysical components, and instrument specifications. The engine of this method is called Gibbs sampling, which I have already applied extremely successfully to basic CMB component separation. The new and ciritical step is to apply this method to raw time-ordered observations observed directly by the instrument, as opposed to pre-processed frequency maps. While representing a ~100-fold increase in input data volume, this step is unavoidable in order to break through the current foreground-induced systematics floor. I will apply this method to the best currently available and future data sets (WMAP, Planck, SPIDER and LiteBIRD), and thereby derive the world's tightest constraint on the amplitude of inflationary gravitational waves. Additionally, the resulting ancillary science in the form of robust cosmological parameters and astrophysical component maps will represent the state-of-the-art in observational cosmology in years to come.

1 999 205 €

Start date: 2018-04-01, End date: 2023-03-31

"Massive black holes (MBHs) weighing million solar masses and above inhabit the centers of today's galaxies, weighing about a thousandth of the host bulge mass. MBHs also powered quasars known to exist just a few hundred million years after the Big Bang. Owing to observational breakthroughs and remarkable advancements in theoretical models, we do now that MBHs are out there and evolved with their hosts, but we do not know how they got there nor how, and when, the connection between MBHs and hosts was established. To have a full view of MBH formation and growth we have to look at the global process where galaxies form, as determined by the large-scale structure, on Mpc scales. On the other hand, the region where MBHs dominate the dynamics of gas and stars, and accretion occurs, is merely pc-scale. To study the formation of MBHs and their fuelling we must bridge from Mpc to pc scale in order to follow how galaxies influence MBHs and how in turn MBHs influence galaxies. BLACK aims to connect the cosmic context to the nuclear region where MBHs reside, and to study MBH formation, feeding and feedback on their hosts through a multi-scale approach following the thread of MBHs from cosmological, to galactic, to nuclear scales. Analytical work guides and tests numerical simulations, allowing us to probe a wide dynamical range. Our theoretical work will be crucial for planning and interpreting current and future observations. Today and in the near future facilities at wavelengths spanning from radio to X-ray will widen and deepen our view of the Universe, making this an ideal time for this line of research."

1 668 385 €

Start date: 2014-06-01, End date: 2019-05-31

Boundary layer theory is a large component of fluid dynamics. It is ubiquitous in Oceanography, where boundary layer currents, such as the Gulf Stream, play an important role in the global circulation. Comprehending the underlying mechanisms in the formation of boundary layers is therefore crucial for applications. However, the treatment of boundary layers in ocean dynamics remains poorly understood at a theoretical level, due to the variety and complexity of the forces at stake. The goal of this project is to develop several tools to bridge the gap between the mathematical state of the art and the physical reality of oceanic motion. There are four points on which we will mainly focus: degeneracy issues, including the treatment Stewartson boundary layers near the equator; rough boundaries (meaning boundaries with small amplitude and high frequency variations); the inclusion of the advection term in the construction of stationary boundary layers; and the linear and nonlinear stability of the boundary layers. We will address separately Ekman layers and western boundary layers, since they are ruled by equations whose mathematical behaviour is very different. This project will allow us to have a better understanding of small scale phenomena in fluid mechanics, and in particular of the inviscid limit of incompressible fluids. The team will be composed of the PI, two PhD students and three two-year postdocs over the whole period. We will also rely on the historical expertise of the host institution on fluid mechanics and asymptotic methods.

1 267 500 €

Start date: 2015-09-01, End date: 2020-08-31

My lab is interested in the development of the tissue that gives rise to vertebrae and skeletal muscles called the paraxial mesoderm. A striking feature of this tissue is its segmental organization and we have made major contributions to the understanding of the molecular control of the segmentation process. We identified a molecular oscillator associated to the rhythmic production of somites and proposed a model for vertebrate segmentation based on the integration of a rhythmic signaling pulse gated spatially by a system of traveling FGF and Wnt signaling gradients. We are also studying the differentiation of paraxial mesoderm precursors into the muscle, cartilage and dermis lineages. Our work identified the Wnt, FGF and Notch pathways as playing a prominent role in the patterning and differentiation of paraxial mesoderm. In this application, we largely focus on the molecular control of paraxial mesoderm development. Using microarray and high throughput sequencing-based approaches and bioinformatics, we will characterize the transcriptional network acting downstream of Wnt, FGF and Notch in the presomitic mesoderm (PSM). We will also use genetic and pharmacological approaches utilizing real-time imaging reporters to characterize the pacemaker of the segmentation clock in vivo, and also in vitro using differentiated embryonic stem cells. We further propose to characterize in detail a novel RA-dependent pathway that we identified and which controls the somite left-right symmetry. Our work is expected to have a strong impact in the field of congenital spine anomalies, currently an understudied biomedical problem, and will be of utility in elucidating the etiology and eventual prevention of these disorders. This work is also expected to further our understanding of the Notch, Wnt, FGF and RA signalling pathways which are involved in segmentation and in the establishment of the vertebrate body plan, and which play important roles in a wide array of human diseases.

2 500 000 €

Start date: 2010-04-01, End date: 2015-03-31

Plate tectonics characterises the complex and dynamic evolution of the outer shell of the Earth in terms of rigid plates. These tectonic plates overlie and interact with the Earth's mantle, which is slowly convecting owing to energy released by the decay of radioactive nuclides in the Earth's interior. Even though links between mantle convection and plate tectonics are becoming more evident, notably through subsurface tomographic images, advances in mineral physics and improved absolute plate motion reference frames, there is still no generally accepted mechanism that consistently explains plate tectonics and mantle convection in one framework. We will integrate plate tectonics into mantle dynamics and develop a theory that explains plate motions quantitatively and dynamically. This requires consistent and detailed reconstructions of plate motions through time (Objective 1). A new model of plate kinematics will be linked to the mantle with the aid of a new global reference frame based on moving hotspots and on palaeomagnetic data. The global reference frame will be corrected for true polar wander in order to develop a global plate motion reference frame with respect to the mantle back to Pangea (ca. 320 million years) and possibly Gondwana assembly (ca. 550 million years). The resulting plate reconstructions will constitute the input to subduction models that are meant to test the consistency between the reference frame and subduction histories. The final outcome will be a novel global subduction reference frame, to be used to unravel links between the surface and deep Earth (Objective 2).

2 499 010 €

Start date: 2011-05-01, End date: 2016-04-30

Brain-Computer Interfaces (BCIs) are communication systems that enable users to send commands to computers through brain signals only, by measuring and processing these signals. Making computer control possible without any physical activity, BCIs have promised to revolutionize many application areas, notably assistive technologies, e.g., for wheelchair control, and human-machine interaction. Despite this promising potential, BCIs are still barely used outside laboratories, due to their current poor reliability. For instance, BCIs only using two imagined hand movements as mental commands decode, on average, less than 80% of these commands correctly, while 10 to 30% of users cannot control a BCI at all. A BCI should be considered a co-adaptive communication system: its users learn to encode commands in their brain signals (with mental imagery) that the machine learns to decode using signal processing. Most research efforts so far have been dedicated to decoding the commands. However, BCI control is a skill that users have to learn too. Unfortunately how BCI users learn to encode the commands is essential but is barely studied, i.e., fundamental knowledge about how users learn BCI control is lacking. Moreover standard training approaches are only based on heuristics, without satisfying human learning principles. Thus, poor BCI reliability is probably largely due to highly suboptimal user training. In order to obtain a truly reliable BCI we need to completely redefine user training approaches. To do so, I propose to study and statistically model how users learn to encode BCI commands. Then, based on human learning principles and this model, I propose to create a new generation of BCIs which ensure that users learn how to successfully encode commands with high signal-to-noise ratio in their brain signals, hence making BCIs dramatically more reliable. Such a reliable BCI could positively change human-machine interaction as BCIs have promised but failed to do so far.

1 498 751 €

Start date: 2017-07-01, End date: 2022-06-30

"This project is concerned with problems that involve a very large number of variables, and whose efficient numerical treatment is challenged by the so-called curse of dimensionality, meaning that computational complexity increases exponentially in the variable dimension. The PI intend to establish in his host institution a scientific leadership on the mathematical understanding and numerical treatment of these problems, and to contribute to the development of this area of research through international collaborations, organization of workshops and research schools, and training of postdocs and PhD students. High dimensional problems are ubiquitous in an increasing number of areas of scientific computing, among which statistical or active learning theory, parametric and stochastic partial differential equations, parameter optimization in numerical codes. There is a high demand from the industrial world of efficient numerical methods for treating such problems. The practical success of various numerical algorithms, that have been developed in recent years in these application areas, is often limited to moderate dimensional setting. In addition, these developments tend to be, as a rule, rather problem specific and not always founded on a solid mathematical analysis. The central scientific objectives of this project are therefore: (i) to identify fundamental mathematical principles behind overcoming the curse of dimensionality, (ii) to understand how these principles enter in relevant instances of the above applications, and (iii) based on the these principles beyond particular problem classes, to develop broadly applicable numerical strategies that benefit from such mechanisms. The performances of these strategies should be provably independent of the variable dimension, and in that sense break the curse of dimensionality. They will be tested on both synthetic benchmark tests and real world problems coming from the afore-mentioned applications."

1 848 000 €

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

Existing fluorescent molecular probes, due to limited brightness, do not allow imaging individual biomolecules directly in living cells, whereas bright fluorescent nanoparticles are unable to respond to single molecular stimuli and their inorganic core is not biodegradable. The aim of BrightSens is to develop ultrabright fluorescent organic nanoparticles (FONs) capable to convert single molecular stimuli into collective turn-on response of >100 encapsulated dyes, and to apply them in amplified molecular sensing of specific targets at the cell surface (receptors) and in the cytosol (mRNA). The project is composed of three work packages. (1) Synthesis of FONs: Dye-doped polymer and micellar FONs will be obtained by self-assembly. Molecular design of dyes and the use of bulky hydrophobic counterions will enable precise control of dyes organization inside FONs, which will resolve the fundamental problems of self-quenching and cooperative on/off switching in dye ensembles. (2) Synthesis of nanoprobes: Using cooperative Forster Resonance Energy Transfer from FONs to originally designed acceptor-sensor unit, we propose synthesis of the first nanoprobes that (a) undergo complete turn-on or colour switch in response to single molecular targets and (b) harvest light energy into photochemical disruption of cell membrane barriers. (3) Cellular applications: The obtained nanoprobes will be applied in 2D and 3D cultures of cancer cells for background-free single-molecule detection of membrane receptors and intracellular mRNA, which are important markers of cancer and apoptosis. An original concept of amplified photochemical internalization is proposed to trigger by light entry of nanoprobes into the cytosol. This high-risk/high-gain multidisciplinary project will result in new organic nanomaterials with unique photophysical properties that will enable visualization of biomolecules at work in living cells with expected impact on cancer research.

1 999 750 €

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

The cosmological paradigm of structure formation is both extremely successful and plagued by many enigmas. Not only the nature of the main matter component, dark matter, shaping the structure skeleton in the form of a cosmic web, is mysterious; but also half of the ordinary matter (i.e. baryons) at late times of the cosmic history, remains unobserved, or hidden! ByoPiC focuses on this key and currently unresolved issue in astrophysics and cosmology: Where and how are half of the baryons hidden at late times? ByoPiC will answer that central question by detecting, mapping, and assessing the physical properties of hot ionised baryons at large cosmic scales and at late times. This will give a completely new picture of the cosmic web, added to its standard tracers, i.e. galaxies made of cold and dense baryons. To this end, ByoPiC will perform the first statistically consistent, joint analysis of complementary multiwavelength data: Planck observations tracing hot, ionised baryons via the Sunyaev-Zeldovich effect, optimally combined with optical and near infrared galaxy surveys as tracers of cold baryons. This joint analysis will rely on innovative statistical tools to recover all the (cross)information contained in these data in order to detect most of the hidden baryons in cosmic web elements such as (super)clusters and filaments. These newly detected elements will then be assembled to reconstruct the cosmic web as traced by both hot ionised baryons and galaxies. Thanks to that, ByoPiC will perform the most complete and detailed assessment of the census and contribution of hot ionised baryons to the total baryon budget, and identify the main physical processes driving their evolution in the cosmic web. Catalogues of new (super)clusters and filaments, and innovative tools, will be key deliverable products, allowing for an optimal preparation of future surveys.

2 488 350 €

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

The Earth's climate system contains a highly complex interplay of numerous components, such as atmospheric greenhouse gases, ice sheets, and ocean circulation. Due to nonlinearities and feedbacks, changes to the system can result in rapid transitions to radically different climate states. In light of rising greenhouse gas levels there is an urgent need to better understand climate at such tipping points. Reconstructions of profound climate changes in the past provide crucial insight into our climate system and help to predict future changes. However, all proxies we use to reconstruct past climate depend on assumptions that are in addition increasingly uncertain back in time. A new kind of temperature proxy, the carbonate ‘clumped isotope’ thermometer, has great potential to overcome these obstacles. The proxy relies on thermodynamic principles, taking advantage of the temperature-dependence of the binding strength between different isotopes of carbon and oxygen, which makes it independent of other variables. Yet, widespread application of this technique in paleoceanography is currently prevented by the required large sample amounts, which are difficult to obtain from ocean sediments. If applied to the minute carbonate shells preserved in the sediments, this proxy would allow robust reconstructions of past temperatures in the surface and deep ocean, as well as global ice volume, far back in time. Here I propose to considerably decrease sample amount requirements of clumped isotope thermometry, building on recent successful modifications of the method and ideas for further analytical improvements. This will enable my group and me to thoroughly ground-truth the proxy for application in paleoceanography and for the first time apply it to aspects of past climate change across major climate transitions in the past, where clumped isotope thermometry can immediately contribute to solving long-standing first-order questions and allow for major progress in the field.

1 877 209 €

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

Some of the primary questions in extragalactic astronomy concern the formation and evolution of galaxies in the distant Universe. In particular, little is known about the less luminous (and therefore less massive) galaxy populations, which are currently missed from large observing surveys and could contribute significantly to the overall star formation happening at early times. One way to overcome the current observing limitations prior to the arrival of the future James Webb Space Telescope or the European Extremely Large Telescopes is to use the natural magnification of strong lensing clusters to look at distant sources with an improved sensitivity and resolution. The aim of CALENDS is to build and study in great details a large sample of accurately-modelled, strongly lensed galaxies at high redshift (1<z<5) selected in the fields of massive clusters, and compare them with the more luminous or lower redshift populations. We will develop novel techniques in this process, in order to improve the accuracy of strong-lensing models and precisely determine the mass content of these clusters. By performing a systematic modelling of the cluster sample we will look into the relative distribution of baryons and dark matter as well as the amount of substructure in cluster cores. Regarding the population of lensed galaxies, we will study their global properties through a multiwavelength analysis covering the optical to millimeter domains, including spectroscopic information from MUSE and KMOS on the VLT, and ALMA. We will look for scaling relations between the stellar, gas and dust parameters, and compare them with known relations for lower redshift and more massive galaxy samples. For the most extended sources, we will be able to spatially resolve their inner properties, and compare the results of individual regions with predictions from simulations. We will look into key physical processes: star formation, gas accretion, inflows and outflows, in these distant sources.

1 450 992 €

Start date: 2013-09-01, End date: 2019-08-31

How can simple molecules self-organize into a growing synthetic reaction network like biochemical metabolism? This proposal takes a novel synthesis-driven approach to the question by mimicking a central self-amplifying CO2-fixing biochemical reaction cycle known as the reductive tricarboxylic acid cycle. The intermediates of this cycle are the synthetic precursors to all major classes of biomolecules and are built from CO2, an anhydride and electrons from simple reducing agents. Based on the nature of the reactions in the cycle and the specific structural features of the intermediates that comprise it, we propose that the entire cycle may be enabled in a single reaction vessel with a surprisingly small number of simple, mutually compatible catalysts from the recent synthetic organic literature. However, since one of the required reactions does not yet have an efficient synthetic equivalent in the literature and since those that do have not yet been carried out sequentially in a single reaction vessel, we will first independently develop the new reaction and sequences before attempting to combine them into the entire cycle. The new reaction and sequences will be useful green synthetic methods in their own right. Most significantly, this endeavour could provide the first experimental evidence of an exciting new alternative model for early biochemical evolution that finally illuminates the origins and necessity of biochemistry’s core reactions.

1 500 000 €

Start date: 2015-09-01, End date: 2020-08-31

We shall develop a microfluidic and microsystems toolbox allowing the construction and study of complex cellular assemblies (“tissue or organ mimics on chip”), in a highly controlled and parallelized way. This platform will allow the selection of specific cells from one or several populations, their deterministic positioning and/or connection relative to each other, yielding functional assemblies with a degree of complexity, determinism and physiological realism unavailable to current in vitro systems We shall in particular develop “semi-3D” architectures, reproducing the local 3D arrangement of tissues, but presenting at mesoscale a planar and periodic arrangement facilitating high resolution stimulation and recording. This will provide biologists and clinicians with new experimental models able to bridge the gap between current in vitro systems, in which cells can be observed in parallel at high resolution, but lack the highly ordered architecture present in living systems, and in vivo models, in which observation and stimulation means are more limited. This development will follow a functional approach, and gather competences and concepts from micr-nano-systems, surface science, hydrodynamics, soft matter and biology. We shall validate it on three specific applications, the sorting and study of circulating tumour cells for understanding metastases, the creation of “miniguts”, artificial intestinal tissue, for applications in developmental biology and cancerogenesis, and the in vitro construction of active and connected neuron arrays, for studying the molecular mechanisms of Alzheimer, and signal processing by neuron networks. This platform will also open new routes for drug testing, replacing animal models and reducing the health and economic risk of clinical tests, developmental biology , stem cells research. and regenerative medicine.

2 260 000 €

Start date: 2013-07-01, End date: 2018-06-30

Ever since the Higgs boson was discovered at the LHC in 2012, we had the confirmation that the Standard Model (SM) of particle physics has to be extended. In parallel, the long lasting Dark Matter (DM) problem, supported by a wealth of evidence ranging from precision cosmology to local astrophysical observations, has been suggesting that new particles should exist. Unfortunately, neither the LHC nor the DM dedicated experiments have significantly detected any exotic signals pointing toward a particular new physics extension of the SM so far. With this proposal, I want to take a new path in the quest of new physics searches by providing the first high-precision measurement of the neutral current Coherent Elastic Neutrino-Nucleus Scattering (CENNS). By focusing on the sub-100 eV CENNS induced nuclear recoils, my goal is to reach unprecedented sensitivities to various exotic physics scenarios with major implications from cosmology to particle physics, beyond the reach of existing particle physics experiments. These include for instance the existence of sterile neutrinos and of new mediators, that could be related to the DM problem, and the possibility of Non Standard Interactions that would have tremendous implications on the global neutrino physics program. To this end, I propose to build a kg-scale cryogenic tabletop neutrino experiment with outstanding sensitivity to low-energy nuclear recoils, called CryoCube, that will be deployed at an optimal nuclear reactor site. The key feature of this proposed detector technology is to combine two target materials: Ge-semiconductor and Zn-superconducting metal. I want to push these two detector techniques beyond the state-of-the-art performance to reach sub-100 eV energy thresholds with unparalleled background rejection capabilities. As my proposed CryoCube detector will reach a 5-sigma level CENNS detection significance in a single day, it will be uniquely positioned to probe new physics extensions beyond the SM.

1 495 000 €

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