/tools/graph-pes

graph-pes

vldgroup/graph-pes

120 stars10 forksPythonWebsiteAdded February 5, 2026
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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