Published January 14, 2022 | Version 1.0
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Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Cornell University
  • 3. ROR icon Lawrence Berkeley National Laboratory

Description

Data related to the publication are provided as a single .zip that contains ascii, .csv, and .json files as well as .pkl, .npy, and .chkpt files referenced in the code repository available at TBD

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Mat2Spec_DATA.zip
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Other

Related Publication: Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings Nature Communications 2022-02-17 https://doi.org/10.1038/s41467-022-28543-x eng

Additional details

Created:
September 9, 2022
Modified:
November 18, 2022