AI-powered physics simulations are speeding up design cycles, cutting costs, and enabling more creative engineering solutions. By combining traditional multiphysics modeling with machine learning, ...

Abstract: In the process of multiphysics coupling computations under frequency-domain electromagnetic (EM) field excitation, it is very challenging to solve a sequence of slowly varying EM linear ...

Abstract: In this paper, we introduce a novel electro-thermo-mechanical simulation framework utilizing the unified FDTD method for efficient and accurate analysis of electrical, thermal, stress, and ...