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conda-forge/pymace

pymace

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MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

Copied fromcf-post-staging / pymace

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::pymace

Usage Tracking

0.3.15
0.3.14
0.3.13
0.3.12
0.3.10
5 / 8 versions selected
Downloads (Last 6 months): 0

Description

MACE provides fast and accurate machine learning interatomic potentials with higher order equivariant message passing. This repository contains the MACE reference implementation developed by Ilyes Batatia, Gregor Simm, and David Kovacs.

About

Summary

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

Last Updated

Feb 23, 2026 at 13:46

License

MIT

Total Downloads

23.6K

Version Downloads

88

Supported Platforms

noarch

Home

https://github.com/ACEsuit/mace

GitHub Repository

https://github.com/ACEsuit/mace

Documentation

https://github.com/ACEsuit/mace