AI discovers interpretable constitutive laws in solids directly from data
Researchers developed a graph-based approach to directly extract concise and accurate constitutive equations from solid material experimental data. The method outperforms mainstream empirical models in predictive accuracy while preserving explicit, physically interpretable mathematical formulations.
SourceEastern Institute of Technology, Ningbo·JournalScience Advances·TypeComputational simulation/modeling·DateSep 11, 2026