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...
Coverage timeline
- Oct 9, 04:00 UTC arXiv cs.LG lead source NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning