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Data for "Machine learning climbs the Jacob's ladder of optoelectronic properties"

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DataCite Commons2025-08-31 更新2026-05-03 收录
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https://springernature.figshare.com/articles/dataset/Data_for_Machine_learning_climbs_the_Jacob_s_ladder_of_optoelectronic_properties_/29572922
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资源简介:
Data for the publication "Machine learning climbs the Jacob’s Ladder of optoelectronic properties". Included are files that are too large to include on GitHub. For usage, we refer to the code referenced in the paper. The data consists of: 1. The entire compressed folder of our calculation outputs ("calc.tgz"). 2. The compressed database of our calculation results ("database.zip", i.e., structures and associated calculated spectra (RPA and IPA) and computational parameters. 3. The compressed folder of generated images of the crystal structure ("images.zip"). This is used for the gneration of the interactive UMAP. 4. The compressed folder of the models trained and evaluated in the publication ("trained_models.zip"). We also supply an interactive version Fig. 7 of the main manuscript.
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figshare
创建时间:
2025-07-15
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