PINNA: Physics‐Informed Neural Networks Architecture for Implicit Governing Physics With Interpretability
PINNA is validated across three fundamentally different benchmarks: two composite‐material problems involving nonlinear stress‐strain behavior and multistage failure, and a large‐scale 1‐D laminar combustion problem governed by stiff chemical kinetics, thermal transport, and reduced fluid mechanics.