Sepehr Aarabi Dahej

Physics-Informed Neural Network Surrogates for Chemical Processes Governed by Partial Differential Equations: From Static Simulation to Real-Time Applications

Two Physics-Informed Neural Network (PINN)-based surrogate frameworks tailored to distinct applications achieving speedups exceeding three orders of magnitude over a conventional numerical solver, with sub-percent mean absolute percentage errors and strong generalization to extrapolated inputs beyond their training dom...