CHGNet
PulseAugur coverage of CHGNet — every cluster mentioning CHGNet across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New methods enhance reliability and safety of machine-learned interatomic potentials
Two new research papers explore methods for improving the reliability and safety of machine-learned interatomic potentials (MLIPs). The first paper proposes pre-training uncertainty estimators on large datasets to provi…
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GNN Theory Explains Multi-Layer Message Passing Effectiveness
Researchers have developed a theoretical framework explaining the effectiveness of multi-layer message passing in Graph Neural Networks (GNNs) for approximating potential energy surfaces. Their work proves that a Hyperg…
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New AI method improves training of universal machine-learning interatomic potentials
Researchers have developed a new method called Adaptive Multi-Teacher Routing (ATR) to improve the training of universal machine-learning interatomic potentials (uMLIPs). This technique addresses the high computational …