High level API for using machine learning models in OpenMM simulations
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Updated
Jul 17, 2026 - Python
High level API for using machine learning models in OpenMM simulations
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
NequIP is a code for building E(3)-equivariant interatomic potentials
OpenMM plugin to define forces with neural networks
End-To-End Molecular Dynamics (MD) Engine using PyTorch
A deep learning package for many-body potential energy representation and molecular dynamics
SchNetPack - Deep Neural Networks for Atomistic Systems
Differentiable, Hardware Accelerated, Molecular Dynamics
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