Chandana Pati

Decoupling deformation modes: a physically interpretable neural network for hyperelastic constitutive modeling

Hyperelastic constitutive models traditionally rely on a single global strain energy density function defined by deformation invariants. While this approach ensures thermodynamic consistency and mathematical simplicity, it implicitly forces a uniform energy landscape across all deformation modes. As demonstrated by...