deepmodeling/deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
DeePMD-kit helps researchers in materials science, chemistry, and physics simulate how atoms and molecules behave. It takes atomic structure data and produces highly accurate predictions of interatomic forces and potential energies, significantly speeding up molecular dynamics simulations. This tool is for scientists who need to understand complex material properties without the computational cost of traditional quantum methods.
1,892 stars. Used by 2 other packages. Actively maintained with 53 commits in the last 30 days. Available on PyPI and npm.
Use this if you need to perform molecular dynamics simulations on systems ranging from organic molecules to metals and semiconductors, requiring high accuracy but also computational efficiency.
Not ideal if you primarily work with systems where classical force fields are sufficient, or if your simulations do not require the advanced accuracy of deep learning potentials.
Stars
1,892
Forks
599
Language
Python
License
LGPL-3.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
53
Dependencies
12
Reverse dependents
2
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