Thermodynamically consistent physics-informed neural networks for hyperbolic systems

Ravi G. Patel, Indu Manickam, Nathaniel A. Trask +4

Physics-informed neural network architectures have emerged as a powerful tool for developing flexible PDE solvers which easily assimilate data, but face challenges related to the P…