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constitutive modeling 1hyperelastic materials 1inverse problems 1neural operators 1physics-informed machine learning 1

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physics.comp-ph2026

Discovery of Hyperelastic Constitutive Laws from Experimental Data with EUCLID

Arefeh Abbasi, Maurizio Ricci, Pietro Carrara +4

We assess the performance of EUCLID, Efficient Unsupervised Constitutive Law Identification and Discovery, a recently proposed framework for automated discovery of constitutive law…