一种基于物理信息神经网络的参数化热仿真方法用于功率模块快速热设计

This article proposes a parameterized 3D thermal simulation methodology based on physics-informed neural networks (PINNs) to achieve rapid design space exploration for power module thermal design. Leveraging the capability of PINNs to quickly approximate the solutions to the parameterized partial differential equations describing the thermal behavior of power modules, a thermal field simulation fr...