arxiv
PublishedNovember 14, 2026 at 5:00 AM
Are Scaling Laws of Universal MLIPs Universal?
Publisher summary· verbatim
arXiv:2611.15603v1 Announce Type: cross Abstract: Neural scaling laws enable the prediction of returns from larger training datasets, but machine-learned interatomic potential (MLIP) datasets are heterogeneous and expensive to generate, and equal numbers of structures need not contain equal amounts
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Originally published on arxiv ↗