Platonic representation of foundation machine learning interatomic potentials

Nature Machine Intelligence, Published online: 07 May 2026; doi:10.1038/s42256-026-01235-7 Li and Walsh show that a unified ‘platonic’ geometry emerges across the representations of independent foundation models for learning interatomic potentials. The observation enables cross-model comparison, embedding arithmetic and ground-truth-free diagnostics.