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Financement de l’UE (5 045 814 €) : Découverte de nouveaux matériaux Hor 14/07/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
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Découverte de nouveaux matériaux
Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently, however, precisely predicting complex materials is computationally infeasible. NOMAD CoE will develop a new level of materials modelling, enabled by upcoming HPC exascale computing and extreme-scale data hardware. In close contact with the R&D community, including industry, we will • develop exascale algorithms to create accurate predictive models of real-world, industrially-relevant, complex materials; • provide exascale software libraries for all code families (not just selected codes); enhancing today’s aiCMS to take advantage of tomorrow’s HPC computing platforms; • develop energy-to-solution as a fundamental part of new models. This will be achieved by developing novel artificial-intelligence (AI) guided work-flow engines that optimise the modelling calculations and provide significantly more information per calculation performed; • offer extreme-scale data services (data infrastructure, storage, retrieval and analytics/AI); • test and demonstrate our results in two exciting use cases, solving urgent challenges for the energy and environment that cannot be computed properly with today’s hard- and software (water splitting and novel thermoelectric materials); • train the next generation of students, also in countries where HPC studies are not yet well developed. NOMAD CoE is working closely together with POP, and it is synergistically complementary to and closely coordinated with the EoCoE, ECAM, BioExcel and MaX CoEs. NOMAD CoE will push the limits of aiCMS to unprecedented capabilities, speed and accuracy, serving basic science, industry and thus society.
| Aalto Korkeakoulusaatio sr | 183 351 € |
| Barcelona Supercomputing Center Centro Nacional de Supercomputacion | 269 001 € |
| Commissariat a L Energie Atomique et aux Energies Alternatives | 50 160 € |
| CSC-Tieteen Tietotekniikan Keskus Oy | 87 310 € |
| Danmarks Tekniske Universitet | 648 042 € |
| Humboldt-Universitaet ZU Berlin | 742 158 € |
| Latvijas Universitate | 108 623 € |
| MAX-Planck-Gesellschaft ZUR Forderung DER Wissenschaften e. V. | 1 466 622 € |
| Technische Universitaet Wien | 254 376 € |
| The Chancellor Masters and Scholars of the University of Cambridge | 107 713 € |
| Universite Catholique de Louvain | 778 388 € |
| University of Warwick | 350 070 € |
https://cordis.europa.eu/project/id/951786
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.
