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https://github.com/mzjb/DeepH-pack
Deep neural networks for density functional theory Hamiltonian.
https://github.com/mzjb/DeepH-pack
ab-initio-simulations deeph density-functional-theory dft equivariant-network first-principles-calculations hamiltonian julia physics pytorch
Last synced: 3 months ago
JSON representation
Deep neural networks for density functional theory Hamiltonian.
- Host: GitHub
- URL: https://github.com/mzjb/DeepH-pack
- Owner: mzjb
- License: lgpl-3.0
- Created: 2022-05-13T02:51:32.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-22T10:50:01.000Z (6 months ago)
- Last Synced: 2024-05-22T11:54:17.633Z (6 months ago)
- Topics: ab-initio-simulations, deeph, density-functional-theory, dft, equivariant-network, first-principles-calculations, hamiltonian, julia, physics, pytorch
- Language: Python
- Homepage:
- Size: 679 KB
- Stars: 185
- Watchers: 6
- Forks: 42
- Open Issues: 10
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Metadata Files:
- Readme: README.md
- License: LICENSE
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- best-of-atomistic-machine-learning - GitHub - 25% open · ⏱️ 07.10.2024): (Density functional theory (ML-DFT))