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ENTITY OMat24

OMat24

PulseAugur coverage of OMat24 — every cluster mentioning OMat24 across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_206537 ·

    New MoE architectures boost MLIPs performance and interpretability

    Researchers have developed new Mixture-of-Experts (MoE) and Mixture-of-Linear-Experts (MoLE) architectures for Machine Learning Interatomic Potentials (MLIPs). These models, integrated into the DPA3 framework, demonstra…

  2. RESEARCH · CL_141057 ·

    New MLIP method enhances extrapolation performance with novel attention mechanism · 2 sources tracked

    Researchers have developed a new method for machine learning interatomic potentials (MLIPs) by investigating SO(2) theory and identifying limitations in conventional architectures. They propose novel interaction buildin…