SKM 2023 – wissenschaftliches Programm
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CPP: Fachverband Chemische Physik und Polymerphysik
CPP 33: Perovskite and photovoltaics II (joint session HL/CPP)
CPP 33.3: Vortrag
Mittwoch, 29. März 2023, 10:15–10:30, JAN 0027
Accelerating research on solar cell materials with NOMAD — •Jose Marquez1, Lauri Himanen1, Markus Scheidgen1, Claudia Draxl1, Jens Hauch2, Christoph Brabec2, and Thomas Unold3 — 1Humboldt Universität zu Berlin — 2Helmholtz Institute Erlangen-Nürnberg for Renewable Energy — 3Helmholtz-Zentrum Berlin
New solar cell technologies need decades to overcome the 20% power conversion efficiency threshold needed to make them commercially viable. With thousands of possible chemical compositions for new absorber layer materials and an unlimited number of possible device architectures, it becomes impossible to navigate this material space without the help of data science. To radically accelerate and democratize this development process, FAIR data management activities involving experimental solar cell data are needed. The NOMAD Laboratory (https://nomad-lab.eu) is a platform and open-source software driven by the NFDI consortium FAIRmat (https://fairmat-nfdi.eu) for making materials-science data FAIR. We show how the NOMAD infrastructure is evolving to support this task in the context of solar cells, demonstrated by an app for visualizing and searching rich and AI-ready experimental big solar cell data. NOMAD also provides an electronic lab notebook (ELN) which can be customized by research labs for AI-ready data/metadata entry, transfer, and processing in a FAIR-database context.