New paper: “Nonlinear electro-elastic finite element analysis with neural network constitutive models”
New paper published in CMAME under the project “Multiphysics-Informed Design of Tunable Smart Materials”. The present work, the applicability of physics-augmented neural network (PANN) constitutive models for complex electro-elastic finite element analysis is demonstrated. For the investigations, PANN models for electro-elastic material behavior at finite deformations are calibrated to different synthetically generated datasets describing the … Read more