Published August 29, 2024
| Version v1
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Dataset for the article "A deep equivariant neural network approach for efficient hybrid density functional calculations"
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Description
Dataset files for DeepH-hybrid, containing structures and preprocessed Hamiltonian matrices computed with HSE06 hybrid functional and ABACUS DFT package.
Enclosed include:
- The four datasets corresponding to the four DeepH-hybrid models mentioned in DeepH-hybrid's paper, each containing material structures and electronic structure properties of
- Basis set files for the ABACUS DFT package
- Snapshot of a version of the additional codes utilized to preprocess hybrid DFT Hamiltonians (also available via this GitHub link)
Note only the additional codes of DeepH-hybrid is provided, and it may be used in combination with DeepH-E3 package for neural-network training. For additional details please refer to the "README" file of the code.
Files
basis_sets.zip
Files
(40.4 GB)
Name | Size | Download all |
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md5:550d17d97811a43b0ba139367d7f2d40
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180.1 kB | Preview Download |
md5:627e06bbd898b4e3b55c08b9e7329cc2
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14.9 GB | Preview Download |
md5:3aac850ea72aa3863ee94112218a1fac
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17.5 GB | Preview Download |
md5:f882ee1570cfc284b458325da58458e7
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1.4 MB | Preview Download |
md5:fbca89bb3191e774a5570e162c624175
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3.2 GB | Preview Download |
md5:823d420af5493b572e720a0ebb67a6e6
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4.8 GB | Preview Download |