A Physics-Informed Neural Network for the Thermal–Hydraulic Modeling of Normal Operation in Superconducting Coils for Fusion Applications
Transient conjugate heat transfer in coupled solid–fluid systems is governed by diffusion, advection, and heat transfer processes that can make repeated simulations expensive and time-consuming in the design phase. This study develops a physics-informed neural network for one-dimensional coupled solid–fluid heat transf...