High-Order Variable-Scaled Energetic Variational Neural Networks for Phase-Field Gradient Flows
Materials
Proposes high-order variable-scaled energetic variational neural networks (VS-EVNN) for phase-field gradient flows, using interface-scale normalization of spatial inputs to improve discretization accuracy.
See LICENSE file phase-fieldenergetic variationalneural networks