NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
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 fraction of the computational cost. These models describe local atomic environments acc…
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- 2026-10-09 04:00 · arXiv cs.LG
NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning