Physics-Guided Prior Graph Neural Network for Chemical Nonequilibrium Aerodynamic Heating Prediction
Accurate and efficient prediction of chemical nonequilibrium aerodynamic heating remains a fundamental challenge in spacecraft design. High-fidelity computational fluid dynamics (CFD) simulations are computationally prohibitive due to stiff chemical source terms, whereas purely data-driven approaches often lack physica...