Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration
A physics-informed graph attention network (GAT) surrogate is proposed, which operates directly on the tetrahedral TCAD mesh and predicts, at every mesh node, the electrostatic potential together with the electron and hole quasi-Fermi levels, the fundamental unknowns of the drift-diffusion system.