Published January 14, 2022
| Version 1.0
Dataset
Open
Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings
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
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
- CALTECHDATA_ID
- 8975
- :unav DE-SC0020383
- U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences
- Toyota Research Institute