Published November 21, 2023
| Version 1.0
Dataset
Open
GlassBench
Contributors
Description
Dataset containing simulation data and machine-learning model predictions for a two-dimensional and a three-dimensional glassy liquid. The set also includes python scripts to reproduce the benchmarking performed for the manuscript "Roadmap on machine learning glassy liquids". Detailed descriptions can be found in the separate README files, which also contain the references which should be cited if this dataset is used for research.
Files
GlassBench.zip
Files
(6.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:82c83a7146eb749e13417e4350022417
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6.0 GB | Preview Download |
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md5:f1a192f54a2fa7a2b3533af0011b80dc
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2.1 kB | Download |
Additional details
Related works
- References
- Publication: 10.1103/PhysRevLett.130.238202 (DOI)
- Publication: 10.1063/5.0129791 (DOI)