Nonlinear GENERIC-Embedded Neural Networks (N-GENNs): Learning GENERIC dynamics with non-quadratic dissipation potentials
Nonlinear GENERIC-Embedded Neural Networks (N-GENNs) is introduced, a deep learning framework for discovering evolution equations of systems governed by the nonlinear GENERIC formalism, and its ability to accurately infer thermodynamically consistent models from data for systems incorporating both conservative and nonlinear dissipative dynamics is demonstrated.
Vojtěch Votruba, Zequn He, Weilun Qiu et al.
· Computer Methods in Applied... · 1 citation