Novel Method to Improve the Convergence of Physics-Informed Neural Networks for Complex Thermal Simulations

In the context of developing PINN methods for real-time digital twins in manufacturing processes, we propose a new approach that combines two complementary weighting strategies to significantly improve their convergence. The first method, called SD-PINN, balances the loss terms associated with the g... View More