Nature Communications, Published online: 28 May 2026; doi:10.1038/s41467-026-73566-3 The authors present ByteFF-Pol, a force field trained solely on quantum data to accurately predict liquid and electrolyte properties. It bridges the gap between microscopic calculations and materials design without experimental calibration.