Francesco Regazzoni

Hyperelastic constitutive model discovery with differentiable finite elements and structure-preserving neural networks

Abstract The discovery of constitutive laws from experimentally accessible measurements is a central problem in nonlinear computational mechanics. Many data-driven constitutive identification approaches rely either on paired strain–stress data or on full-field displacement measur...