/tools/Denoise-Pretrain-ML-Potential
Denoise-Pretrain-ML-Potential
yuyangw/Denoise-Pretrain-ML-Potential
14 stars3 forksPythonAdded February 8, 2026
summary
Denoise-Pretrain-ML-Potential provides an implementation for denoise pretraining on non-equilibrium molecular conformations to enhance the accuracy and transferability of neural potentials. It utilizes graph neural networks and includes datasets for training and fine-tuning models for molecular potential predictions.
description
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
topics
chemical-physicsdglequivariant-representationsgraph-neural-networksmolecular-simulationpytorchpytorch-geometricself-supervised-learning
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