Project Description

Rapid and first-principles accurate modeling and simulation methods are of critical importance to the design of next-generation large-scale integrated circuits and systems. This project involves significant research and development efforts in computational electromagnetics, applied mathematics, circuit modeling and simulation, computer science, and physics. Its objective is to develop rapid and first-principle-accurate modeling and simulation algorithms to guide integrated circuit design in a fast turn around time.

Start Date 

April 2020 

Postdoc Qualifications

PhD in Electrical Engineering, especially computational electromagnetics, circuit CAD or related fields.

Co-advisors 

Dan Jiao, djiao@purdue.edu, ECE

Jianlin Xia, xiaj@math.purdue.edu, Math

References 

W. Chai and D. Jiao. Dense matrix inversion of linear complexity for integral-equation based large-scale 3-d capacitance extraction. IEEE Trans. on Microwave Theory and Techniques, 59(10):2404–2421, October 2011.

W. Chai and D. Jiao. Direct matrix solution of linear complexity for surface integral-equation based impedance extraction of high bandwidth interconnects. In Proc. Design Automation Conf, pages 206–211, 2011.

Q. He, H. Gan, and D. Jiao. From layout directly to simulation: A first-principle-guided circuit simulator of linear complexity and its efficient parallelization. IEEE Trans Components, Packaging and Manufacturing Technology, 2(4):687–699, 2012.

B. Zhou and D. Jiao. Direct finite-element solver of linear complexity for large-scale 3-d electromagnetic analysis and circuit extraction. IEEE Trans. on Microwave Theory and Techniques, 63(10):3066–3080, 2015.