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M 0.831 5.260 0.804 0.861 0.946 0.033 0.822 0.340 0.0752 MatRIS-S 4., M 0.815 5.042 0.771 0.864 0.941 0.036 0.788 1.676 0.0757 eSEN-, Chinese Academy of Sciences, University of Chinese Academy of Sciences
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Invariant models can match the accuracy of equivariant machine learning interatomic potentials at a fraction of the computational cost, thanks to a novel attention mechanism.