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GPU-accelerated diffuse scattering from MD trajectories: S(q, ω), 3D-ΔPDF, and phonon dispersion
mdi-group / mace-field
Forked from ACEsuit/maceMACE-Field - Fast and accurate machine learning interatomic potentials under an external electric field for predicting dielectric properties.
python code to calculate inelastic-neutron-scattering dynamic structure factor, S(Q,w), from molecular dynamics trajectories using parallelism over Q-points.
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
A lightweight python package for reading and writing VASP ML_AB files
Python package to analyse the structural dynamics of perovskites
Allegro is a code for building highly scalable E(3)-equivariant interatomic potentials
Automatic generation of crystal structure descriptions.