pinn

Met-Shield is an open-source re-entry simulator that uses a Physics-Informed Neural Network (PINN) to predict thermal gradients on a spacecraft shield, integrated into a C++ WebAssembly engine for real-time browser performance. The project addresses robustness over traditional solvers but faces convergence issues during high heat flux phases.