Physics-Informed Deep Learning for Industrial Processes: Time-Discrete VPINNs for heat conduction

Manuela Bastidas Olivares, Josué David Acosta Castrillón, Diego A. Muñoz

Neural networks offer powerful tools to solve partial differential equations (PDEs). We present a Variational Physics-Informed Neural Network (VPINN) designed for parabolic problem…