# mzjb/DeepH-pack

<https://repo.masters-masters.com/en/repos/mzjb/DeepH-pack>

[Home](https://repo.masters-masters.com/en) › [mzjb](https://repo.masters-masters.com/en/owners/mzjb) › [DeepH-pack](https://repo.masters-masters.com/en/repos/mzjb/DeepH-pack)

mzjb/DeepH-pack has 346 stars on GitHub. Its RepoMasters card: Alpha tier. Deep neural networks for density functional theory Hamiltonian. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [mzjb](https://repo.masters-masters.com/en/owners/mzjb) |
| Stars | 346 |
| Forks | 72 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | LGPL-3.0 |
| Created | 2022 |
| Topics | deeph, hamiltonian, dft, julia, pytorch, equivariant-network, density-functional-theory, first-principles-calculations, physics, ab-initio-simulations |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mzjb/DeepH-pack](https://github.com/mzjb/DeepH-pack) |

## Repository

Deep neural networks for density functional theory Hamiltonian.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
