NEMORA: Neural Equivariant Multipole Operators for long-range atomistic learning
Read the original at arxiv.org→arXiv:2610.10776v1 Announce Type: new Abstract: Equivariant graph neural networks have emerged as foundational architectures for machine-learned interatomic potentials, approaching quantum-chemical accuracy at a...
Original headline: "NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning"
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- Oct 9, 04:00 UTC arXiv cs.LG lead source NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning