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Title:

Atomic structures and orbital energies of 61,489 crystal-forming organic molecules

Document type:
Zeitschriftenaufsatz
Author(s):
Stuke, Annika; Kunkel, Christian; Golze, Dorothea; Todorović, Milica; Margraf, Johannes T.; Reuter, Karsten; Rinke, Patrick; Oberhofer, Harald
Abstract:
Data science and machine learning in materials science require large datasets of technologically relevant molecules or materials. Currently, publicly available molecular datasets with realistic molecular geometries and spectral properties are rare. We here supply a diverse benchmark spectroscopy dataset of 61,489 molecules extracted from organic crystals in the Cambridge Structural Database (CSD), denoted OE62. Molecular equilibrium geometries are reported at the Perdew-Burke-Ernzerhof (PBE) lev...     »
Journal title:
Scientific Data 2020-02
Year:
2020
Journal volume:
7
Journal issue:
1
Fulltext / DOI:
doi:10.1038/s41597-020-0385-y
Publisher:
Springer Science and Business Media LLC
E-ISSN:
2052-4463
Date of publication:
18.02.2020
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