
Sorbonne University
ISNI: 0000000123081657
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Sorbonne University
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713 Projects, page 1 of 143
assignment_turned_in ProjectFrom 2011Partners:Université de Paris, Sorbonne University, Université de Paris VII (Diderot), Fondation Paris Sciences et Lettres, Université Paris Cité +4 partnersUniversité de Paris,Sorbonne University,Université de Paris VII (Diderot),Fondation Paris Sciences et Lettres,Université Paris Cité,Ecole Normale supérieure de Paris,CNRS delegation paris centre,Collège de France,OBSERVATOIRE DE PARISFunder: French National Research Agency (ANR) Project Code: ANR-10-LABX-0010Funder Contribution: 8,119,680 EURmore_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:Cineca, University of Pannonia, UNIMORE, Polytechnic University of Milan, Chalmers University of Technology +22 partnersCineca,University of Pannonia,UNIMORE,Polytechnic University of Milan,Chalmers University of Technology,Technical University of Ostrava,TERATEC,UPC,FAU,Sorbonne University,CyI,UL,TCD,METU,uni.lu,BSC,TUW,NTUA,CERFACS,ETP4HPC,Jagiellonian University,URCA,KTH,USI,University of Coimbra,CINI ,Sofia UniversityFunder: European Commission Project Code: 101051997Overall Budget: 7,000,000 EURFunder Contribution: 7,000,000 EURAdvancing education and training in High Performance Computing (HPC) and its applicability to HPDA and AI is essential for strengthening the world-class European HPC ecosystem. It is of primary importance to ensure the digital transformation and the sustainability of high-priority economic sectors. Missing educated and skilled professionals in HPC/HPDA/AI could prevent Europe from creating socio-economic value with HPC. The Hpc EuRopean ConsortiUm Leading Education activities (HERCULES) aims to develop a new and innovative European Master programme focusing on high performance solutions to address these issues. The master programme aims at catalysing various aspects of the HPC ecosystem and its applications into different scientific and industrial domains. HERCULES brings together major players in HPC education in Europe and mobilises them to unify existing programs into a common European curriculum. It leverages experience from various European countries and HPC communities to generate European added value beyond the potential of any single university. HERCULES emphasizes on collaboration across Europe with innovative teaching paradigms including co-teaching and the cooperative development of new content relying on the best specialists in HPC education in Europe. Employers, researchers, HPC specialists, supercomputing centres, CoEs and technology providers will constitute a workforce towards this master in HPC pilot programme. This pilot will provide a base for further national and pan-European educational programmes in HPC all over Europe and our lessons learned and the material development will accelerate the uptake of HPC in academia and industry. The creation of a European network of HPC specialists will catalyse transfers and mutual support between students, teachers and industrial experts. A particular focus on mobility of students and teachers will enable students to rapidly gain experience through internships and exposure to European supercomputing centres
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2022Partners:Sorbonne University, THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGESorbonne University,THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGEFunder: European Commission Project Code: 888997Overall Budget: 196,708 EURFunder Contribution: 196,708 EURProgramming the autonomous and multiscale structuring of shapeless synthetic soft matter is unknown and conceptually challenging. In stark contrast, a living embryo is highly ordered at all levels – from cells to the entire organism. The ordering is a multistep process, starting from the patterning of biomolecules (morphogens) which later instruct autonomous shape transformations (morphogenesis). Inspired by these natural physicochemical processes, we aim at the preparation of a first-ever synthetic biocompatible material which can be self-organized in a programmable and autonomous manner. The programming will be achieved by an out-of-equilibrium DNA-based chemical network which predictably generates single-stranded DNA morphogens. Combined with diffusion, the concentrations of the morphogen can be patterned with a unique spatiotemporal precision, including travelling waves and stable fronts, which were pioneered by the host group. The autonomy of morphological structuring will be accomplished by linking the mechanical activity of active gels, composed of DNA-kinesins and microtubules, to the presence of the DNA morphogen. Latter will act as a cross-linker creating the clusters of kinesins and thus guiding the self-organization of the soft material by the collective action of nanoscale kinesin motor proteins which exert force on microtubules. Apart from the preparation of a first biocompatible man-made morphogenetic material, we will learn how the self-organization of active gels is dependent on morphogens’ patterns. This knowledge is indispensable for the advanced programming of the precise macroscale shapes at the molecular level of chemical networks, which are diverse and modular. With further developments, our methodology could lead to so far elusive self-fabricated, force-exerting synthetic soft matter with the potential of integration in soft robotics and biological environments.
more_vert assignment_turned_in Project2011 - 2017Partners:Vienne University of Technology, CEA - Atomic Energy Commission, Imperial College London, Sorbonne University, University of Salamanca +4 partnersVienne University of Technology,CEA - Atomic Energy Commission,Imperial College London,Sorbonne University,University of Salamanca,Atomic Energy Commission CEA,TU Wien,TUW,Universite Pierre et Marie CurieFunder: UK Research and Innovation Project Code: EP/J002348/1Funder Contribution: 712,165 GBPIn atoms, molecules or biological systems, all structural changes will modify the properties of the entity (form, colour, capacity to react with other entities etc ...). These changes are due to electronic and nuclear dynamics known as charge migrations (rearrangement of electrons and/or protons within the entity). However charge migrations are very fast and can occurs within 1/1000 000 000 000 000 second meaning from few attosecond (1e-18 sec) to few femtosecond (1e-15 sec). As an example in the Rutherford model of the hydrogen atom, known as the "planetary" model, an electron is moving around a proton (first orbital). The duration the electron takes to complete period around the proton is 150 asec. What is particularly exciting is to be able to make "a movie" of this ultra-fast dynamic that no existing device is capable to follow. My interests are actually not only to observe the first instants of these structural changes but also to control them to go deeper in the understanding of how chemical reactions or biological phenomena take place. If such attosecond information is achieved it will be possible to approach very high-speed information transfer and why not studying how information can be artificially encoded (molecular electronics) or present (traces of cancers) in biological sample, a kind of bio computing?This research will give birth to a new type of Physics that will bridge the gap between many sciences. The technical challenges under this research area are leading international efforts in laser development that will have a huge impact on technological applications also in industry (electronic, communication), medicine technologies (Magnetic Resonance Imaging, proton therapy, pharmacology).Therefore I developed a research based on tools to observe and control the intra- atomic and intra-molecular electrons and nuclei motions. To capture this dynamics at the origin of any chemical or biological reactions, one has to capture snapshots of the system evolving, exactly as a camera will do. Unfortunately there is no such detector, but what is possible is to find a process observable, that can be affected by these changes and so that will carry the fingerprint of these changes. The ideal candidate for this is light, because emission of photons is highly sensitive to any changes, it is a fast process and it can be observable by looking at spectra (frequency equivalent to its colour). The process I choose is high-order harmonic generation (HHG) that occurs within 10's attosec to few fsec (appropriate time window). It occurs while an intense and short laser pulse interacts with an atom or a molecule. During this interaction, an electron is ionised (extract from the core), and follow a certain trajectory before coming back to the core where it can be recaptured, exactly as a returning boomerang. The excess kinetic energy the electron has acquired during its travel will be spent by the system (final atom or molecule) emitting a new photon which frequency (colour) will be an odd harmonic of the fundamental photon (the laser photon). These harmonic photons can be measured accurately so if a change in the core occurs during the electron travel, the characteristic of the photons emitted will be modified. I have been working in the study of high order harmonic and in particular in the understanding of electron trajectories during the process. I demonstrated experimentally that the ionised electron can not only follow one trajectory but many, giving rise to my technique of investigation called Quantum-Path Interferences first demonstrated in atoms. I will use this technique under different conditions to extract the information on charge migration in molecules within the attosecond timescale.
more_vert assignment_turned_in ProjectFrom 2012Partners:CNRS delegation paris centre, Iltoo, Prediguard, UNIVERSITE PARIS VI - PIERRE ET MARIE CURIE, Sorbonne University +3 partnersCNRS delegation paris centre,Iltoo,Prediguard,UNIVERSITE PARIS VI - PIERRE ET MARIE CURIE,Sorbonne University,INSERM Délégation Paris IDF Centre-Nord,INSERM Délégation Paris 6-12,PharnextFunder: French National Research Agency (ANR) Project Code: ANR-11-LABX-0069Funder Contribution: 3,800,000 EURmore_vert
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