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NFDI-MatWerk - Reference Datasets

Shakeel, Yusra ORCID iD icon 1; Soysal, Mehmet 1; Vitali, Elias 1; Ost, Philipp ORCID iD icon 1; Ávila, Luis A. Calderón [Beteiligte*r]; Engstler, Michael [Beteiligte*r]; Fell, Jonas [Beteiligte*r]; Fritzen, Felix [Beteiligte*r]; Herrmann, Hans-Georg [Beteiligte*r]; Laadhar, Amir [Beteiligte*r]; Olbricht, Jürgen [Beteiligte*r]; Pauly, Christoph [Beteiligte*r]; Roland, Michael [Beteiligte*r]; Skrotzki, Birgit [Beteiligte*r]
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

Within NFDI-MatWerk (“National Research Data Infrastructure for Material Sciences”/ “Nationale Forschungsdateninfrastruktur für Materialwissenschaften und Werkstofftechnik“), the Task Area Materials Data Infrastructure (TA-MDI) will provide tools and services to easily store, share, search, and analyze data and metadata. Such a digital materials environment will ensure data integrity, provenance, and authorship. The MatWerk consortium aims to develop specific solutions jointly with Participant Projects (PPs), which are scientific groups or institutes covering different domains, from theory and simulations to experiments. The Data Exploitation Methods group of the Karlsruhe Institute of Technology-Steinbuch Centre of Computing, as part of TA-MDI, is developing specific solutions in close collaboration with three PPs.
PP07, together with the University of Stuttgart, aims at the image-based prediction of the material properties of stochastic microstructures using high-performance solvers and machine learning. PP13, in cooperation with the University of Saarland, focuses on tomographic methods at various scales in materials research. PP18, together with the Federal Institute for Materials Research and Testing (“Bundesanstalt für Materialforschung und -prüfung”), aspires to define the criteria for materials reference datasets and usage analytics. ... mehr


Volltext §
DOI: 10.5445/IR/1000151392
Veröffentlicht am 13.10.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Poster
Publikationsdatum 05.10.2022
Sprache Englisch
Identifikator KITopen-ID: 1000151392
HGF-Programm 46.21.05 (POF IV, LK 01) HMC
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Veranstaltung Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 05.10.2022 – 06.10.2022
Referent/Betreuer Aversa, Rossella
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