Published January 14, 2022 | Version 1.0
Dataset Open

Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

Gregoire, John M1 ORCID icon
Kong, Shufeng2
Ricci, Francesco3
Guevarra, Dan1
Neaton, Jeffrey B.3
Gomes, Carla P2
  • 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

Files

Mat2Spec_DATA.zip
Files (241.6 MB)
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Mat2Spec_DATA.zip
md5:11cc35a21f7d10f5f9862f7f6787b411
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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

Identifiers Related works Funding
Created:
September 9, 2022
Modified:
November 18, 2022