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AI Extracts Interpretable Constitutive Laws Directly From Solid-Mechanics Data

Summary by Phys.org
Researchers at the Eastern Institute of Technology (EIT), Ningbo, have developed a graph-based approach that directly extracts concise, accurate constitutive equations from solid-material experimental data. The study, published in Science Advances, describes a method for discovering constitutive models for alloy steels, lithium metal and filled rubbers. It outperforms mainstream empirical models in predictive accuracy while preserving explicit, physically interpretable mathematical formulations.

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Phys.org broke the news in Douglas, United Kingdom on Friday, September 11, 2026.
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