SKM 2023 – scientific programme
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CPP: Fachverband Chemische Physik und Polymerphysik
CPP 33: Perovskite and photovoltaics II (joint session HL/CPP)
CPP 33.11: Talk
Wednesday, March 29, 2023, 12:45–13:00, JAN 0027
FAIR Cesium Lead Halide Perovskites Data by High-Throughput Investigation of Co-Evaporated Combinatorial Libraries — •Hampus Näsström1, Pascal Beblo2, Fatima Akhundova2, Oleksandra Shargaieva2, Jose A. Marquez1, Hannes Hempel2, Andrea Albino1, Sebastian Brückner1, Claudia Draxl1, Eva Unger2, and Thomas Unold2 — 1Humboldt-Universität zu Berlin — 2Helmholtz-Zentrum Berlin
Artificial intelligence presents new possibilities in experimental materials research but typically require large well-characterized datasets. High-throughput technologies, including combinatorial synthesis, provide one method for obtaining such datasets. In this work, we show how such a dataset can be created through combinatorial co-evaporation and high-throughput characterization of CsyPb1−y(BrxI1−x)2−y perovskites. The evaporated films were investigated with a multitude of contact-less characterization methods such as hyperspectral photoluminescence imaging, time-resolved photoluminescence mapping, and grazing-incidence wide-angle X-ray scattering mapping. The results were combined to estimate the potential of the material in terms of the photovoltaic power conversion efficiency as a function of the Cs to Pb and Br to I ratio. Finally, a generalized data schema for combinatorial thin films was developed, and the data of the 3456 individual samples was disseminated in a Findable, Accessible, Interoperable and Reusable (FAIR) way within the Novel Materials Discovery (NOMAD) laboratory (nomad-lab.eu) that is operated by the NFDI consortium FAIRmat (fairmat-nfdi.eu).