Abstract: Physics-Informed Neural Networks (PINNs) have emerged as a promising tool for solving partial differential equations (PDEs) by physical constraints. However, PINNs often face challenges in ...

Abstract: Electric machine optimization requires the analysis of hundreds to thousands of design candidates. As usually finite element analyses (FEA) are applied, this follows high computational cost ...

在工业软件体系中，计算机辅助工程（CAE，Computer-Aided ...