arXiv CS
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BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials
Equivariant machine learning interatomic potentials (MLIPs) have revolutionized atomistic modeling, but accurate treatment of complex materials and molecular systems demands expensive models. This limits simulation length- and time-scales, with tensor products a key computational bottleneck. The rec
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