/tools/chgnet
chgnet
CederGroupHub/chgnet
summary
CHGNet is a universal neural network potential that enables charge-informed atomistic modeling with high accuracy. It can predict molecular properties such as energy and forces, and is capable of running molecular dynamics simulations, making it a valuable tool in computational chemistry and materials science.
description
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
topics
atomistic-simulationscharge-distributioncharge-transportcomputational-materials-scienceforce-fieldsgraph-neural-networksmachine-learning
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