题目：Multi-Physics Modeling in Computational Electromagnetics: Challenges and Opportunities

时间：2015年6月11日（星期四），下午2:00-4:00

地点：玉泉校区，行政楼307第二会议室

报告人：金建铭

专家介绍

Jian-Ming Jin is a Fellow of IEEE, Y. T. Lo Chair Professor in Electrical and Computer Engineering and Director of the Electromagnetics Laboratory and Center for Computational Electromagnetics at the University of Illinois at Urbana-Champaign. He has authored and co-authored over 200 papers in refereed journals and over 20 book chapters. He has also authored The Finite Element Method in Electromagnetics, Electromagnetic Analysis and Design in Magnetic Resonance Imaging, and Theory and Computation of Electromagnetic Fields, co-authored Computation of Special Functions, Finite Element Analysis of Antennas and Arrays, and Fast and Efficient Algorithms in Computational Electromagnetics. He was elected by ISI as a world’s most cited author in 2002. Recently, he received the 2014 ACES Technical Achievement Award and 2015 IEEE Antennas and Propagation Society Chen-To Tai Distinguished Educator Award.

报告内容

As computational methods for solving Maxwell’s equations become mature, the time has come to tackle much more challenging multi-physics problems, which have a great range of applications in sciences and technologies. In this presentation, we will use five examples to illustrate the nature and modeling of multi-physics problems. The first example is related to electromagnetic hyperthermia, which requires solving electromagnetic and bio-heat transfer equation for the planning and optimization of the treatment process. The second concerns the heat problem in integrated circuits due to electromagnetic dissipated power, which requires an electrical-thermal co-simulation. The third example considers modeling of monolithic microwave integrated circuits, which consist of both distributive and lumped circuit components. The fourth is the simulation of vacuum electronic devices using the particle-in-cell method, which solves Maxwell’s equations and particle kinetic equation, and the last example simulates the air breakdown in high-power microwave devices by coupling electromagnetic modeling with a plasma fluid model. With these examples, we will discuss the methodologies and some of the challenges in multi-physics modeling.