/tools/graph-pes
graph-pes
vldgroup/graph-pes
summary
The `graph-pes` framework is designed to accelerate the development of machine-learned potential energy surface models that utilize graph representations of atomic structures. It allows researchers to train, fine-tune, and deploy models for molecular dynamics simulations and energy calculations.
description
train and use graph-based ML models of potential energy surfaces
topics
chemistrydeep-learningforce-fieldsframeworkmachine-learning
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