Research2026-05-07
Scaling Laws and Symmetry, Evidence from Neural Force Fields
Source: Arxiv CS.AI
arXiv:2510.09768v2 Announce Type: replace-cross Abstract: We present an empirical study in the geometric task of learning interatomic potentials, which shows equivariance matters even more at larger scales; we show a clear power-law scaling behaviour with respect to data, parameters and compute...
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