Rakesh Gummalla

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

Partial differential equation (PDE) models are core first-principles tools for many chemical process design, optimization, and control problems. However, their computational cost may limit their use in settings requiring rapid, repeated evaluations. Consequently, developing efficient surrogate models is essential for...