Gang-Ling Wu

A physics-informed neural networks framework for electromagnetic field analysis in superconductors

The accurate and efficient simulation of electromagnetic fields in superconductors is critical for the design and optimization of advanced applications such as high-field magnets and energy systems. Conventional numerical approaches primarily rely on the finite element method (FEM). In this work, a robust physics-infor...