EquiformerV2
PulseAugur coverage of EquiformerV2 — every cluster mentioning EquiformerV2 across labs, papers, and developer communities, ranked by signal.
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New method extracts electrostatics from AI potentials
Researchers have developed a method called Latent Ewald Summation (LES) to extract electrostatic properties from foundation machine learning interatomic potentials (MLIPs). This technique allows for the creation of more…
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New ML dataset accelerates catalysis research in 2D MXenes
Researchers have developed a new benchmark dataset and machine learning models to accelerate the study of catalysis in 2D MXenes. By combining density functional theory calculations with machine learning interatomic pot…
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Meta FAIR releases large inorganic materials dataset and AI models
Meta FAIR has released the Open Materials 2024 (OMat24) dataset, comprising over 110 million density functional theory calculations for inorganic materials. This release also includes accompanying pre-trained Equiformer…