000868666 001__ 868666
000868666 005__ 20230207130532.0
000868666 0247_ $$2CORDIS$$aG:(EU-Grant)824158$$d824158
000868666 0247_ $$2CORDIS$$aG:(EU-Call)H2020-INFRAEDI-2018-1$$dH2020-INFRAEDI-2018-1
000868666 0247_ $$2originalID$$acorda__h2020::824158
000868666 035__ $$aG:(EU-Grant)824158
000868666 150__ $$aEnergy Oriented Center of Excellence : toward exascale for energy$$y2019-01-01 - 2022-06-30
000868666 371__ $$aBARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION$$bBSC$$dSpain$$ehttp://www.bsc.es$$vCORDIS
000868666 371__ $$aUniversity of Bath$$bUniversity of Bath$$dUnited Kingdom$$ehttp://www.bath.ac.uk/$$vCORDIS
000868666 371__ $$aMax Planck Society$$bMPG$$dGermany$$ehttp://www.mpg.de/en$$vCORDIS
000868666 371__ $$aINSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK$$dPoland$$vCORDIS
000868666 371__ $$aFRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN NUERNBERG$$bFAU$$dGermany$$ehttp://www.uni-erlangen.de$$vCORDIS
000868666 371__ $$aFRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.$$bFraunhofer$$dGermany$$ehttp://www.fraunhofer.de$$vCORDIS
000868666 371__ $$aINSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE$$bINRIA$$dFrance$$ehttp://www.inria.fr$$vCORDIS
000868666 371__ $$aCNRS - Institut des Sciences Biologiques$$bINSB$$dFrance$$ehttp://www.cnrs.fr/insb/$$vCORDIS
000868666 371__ $$aCentre Europeen De Recherche Et De Formation Avancee En Calcul Scientifique$$bCERFACS$$dFrance$$ehttp://www.cerfacs.fr/$$vCORDIS
000868666 371__ $$aNational Agency For New Technologies, Energy and Sustainable Economic Development$$bENEA$$dItaly$$ehttp://www.enea.it/en$$vCORDIS
000868666 371__ $$aAtomic Energy and Alternative Energies Commission$$bCEA$$dFrance$$ehttp://www.cea.fr/$$vCORDIS
000868666 371__ $$aDATADIRECT NETWORKS FRANCE$$dFrance$$ehttp://ddn.com$$vCORDIS
000868666 371__ $$aNational Research Council$$bCNR$$dItaly$$ehttp://www.cnr.it/sitocnr/home.html$$vCORDIS
000868666 371__ $$aForschungszentrum Jülich$$bForschungszentrum Jülich$$dGermany$$ehttps://www.ptj.de/$$vCORDIS
000868666 371__ $$aCENTRO DE INVESTIGACIONES ENERGETICAS, MEDIOAMBIENTALES Y TECNOLOGICAS-CIEMAT$$bCIEMAT$$dSpain$$ehttp://www.ciemat.es$$vCORDIS
000868666 371__ $$aIFP Energies nouvelles$$bIFPEN$$dFrance$$ehttp://www.ifpenergiesnouvelles.com$$vCORDIS
000868666 371__ $$aUniversity of Trento$$bUniversity of Trento$$dItaly$$ehttp://www.unitn.it/en$$vCORDIS
000868666 371__ $$aUniversité Libre de Bruxelles$$bULB$$dBelgium$$ehttp://www.ulb.ac.be/$$vCORDIS
000868666 372__ $$aH2020-INFRAEDI-2018-1$$s2019-01-01$$t2022-06-30
000868666 450__ $$aEoCoE-II$$wd$$y2019-01-01 - 2022-06-30
000868666 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000868666 680__ $$aThe Energy-oriented Centre of Excellence (EoCoE) applies cutting-edge computational methods in its mission to accelerate the transition to the production, storage and management of clean, decarbonized energy. EoCoE is anchored in the High Performance Computing (HPC) community and targets research institutes, key commercial players and SMEs who develop and enable energy-relevant numerical models to be run on exascale supercomputers, demonstrating their benefits for low-carbon energy technology. The present project will draw on a successful proof-of-principle phase of EoCoE-I, where a large set of diverse computer applications from four such energy domains achieved significant efficiency gains thanks to its multidisciplinary expertise in applied mathematics and supercomputing. During this 2nd round, EoCoE-II will channel its efforts into 5 scientific Exascale challenges in the low-carbon sectors of Energy Meteorology, Materials, Water, Wind and Fusion. This multidisciplinary effort will harness innovations in computer science and mathematical algorithms within a tightly integrated co-design approach to overcome performance bottlenecks and to anticipate future HPC hardware developments. A world-class consortium of 18 complementary partners from 7 countries will form a unique network of expertise in energy science, scientific computing and HPC, including 3 leading European supercomputing centres. New modelling capabilities in selected energy sectors will be created at unprecedented scale, demonstrating the potential benefits to the energy industry, such as accelerated design of storage devices, high-resolution probabilistic wind and solar forecasting for the power grid and quantitative understanding of plasma core-edge interactions in ITER-scale tokamaks. These flagship applications will provide a high-visibility platform for high-performance computational energy science, cross-fertilized through close working connections to the EERA and EUROfusion consortia.
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000868666 980__ $$aCORDIS
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