Abstract:
In this article, we propose an exponential-integrator-Newton–Krylov (EI-NK) method for transient simulation of large-scale nonlinear circuits. This method aims to address...Show MoreMetadata
Abstract:
In this article, we propose an exponential-integrator-Newton–Krylov (EI-NK) method for transient simulation of large-scale nonlinear circuits. This method aims to address two long-standing problems that affect the performance and robustness of EI in handling nonlinear circuits. First is the numerical instability caused by the singularity in the differential-algebraic equation system. We provide an in-depth analysis of the problem and propose a systematic, algebraic, and sparsity preserving regularization technique to eliminate the unstable modes in the system to be solved. Next, we develop a scheme to enable the iterative Newton–Raphson solution in the EI framework for enhanced nonlinearity handling capability. With the two techniques, we wish to elevate EI’s robustness and performance and make it a competitive alternative to the existing SPICE-type simulators in practical applications.
Published in: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ( Volume: 41, Issue: 6, June 2022)
Funding Agency:

School of Microelectronics and the Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education, Southern University of Science and Technology, Shenzhen, China
Quan Chen (Member, IEEE) received the B.S. degree in electrical engineering from Sun Yat-Sen University, Guangzhou, China, in 2005, and the M.Phil. and Ph.D. degrees in electronic engineering from The University of Hong Kong, Hong Kong, in 2007 and 2010, respectively.
From 2010 to 2011, he was a Postdoctoral Fellow with the Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA...Show More
Quan Chen (Member, IEEE) received the B.S. degree in electrical engineering from Sun Yat-Sen University, Guangzhou, China, in 2005, and the M.Phil. and Ph.D. degrees in electronic engineering from The University of Hong Kong, Hong Kong, in 2007 and 2010, respectively.
From 2010 to 2011, he was a Postdoctoral Fellow with the Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA...View more

School of Microelectronics and the Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education, Southern University of Science and Technology, Shenzhen, China
Quan Chen (Member, IEEE) received the B.S. degree in electrical engineering from Sun Yat-Sen University, Guangzhou, China, in 2005, and the M.Phil. and Ph.D. degrees in electronic engineering from The University of Hong Kong, Hong Kong, in 2007 and 2010, respectively.
From 2010 to 2011, he was a Postdoctoral Fellow with the Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA, USA. From 2012 to 2018, he was a Research Assistant Professor with the Department of Electrical and Electronic Engineering, The University of Hong Kong. He joined the Southern University of Science and Technology, Shenzhen, China, in 2019, where he is currently an Assistant Professor. He also has years of experience in technical transformation and commercialization. His research interests include ultralarge-scale circuit simulation and multiphysics analysis in the field of electronic design automation (EDA), as well as EDA techniques for emerging technologies, such as sub-10-nm devices, memristors, and quantum computing.
Quan Chen (Member, IEEE) received the B.S. degree in electrical engineering from Sun Yat-Sen University, Guangzhou, China, in 2005, and the M.Phil. and Ph.D. degrees in electronic engineering from The University of Hong Kong, Hong Kong, in 2007 and 2010, respectively.
From 2010 to 2011, he was a Postdoctoral Fellow with the Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA, USA. From 2012 to 2018, he was a Research Assistant Professor with the Department of Electrical and Electronic Engineering, The University of Hong Kong. He joined the Southern University of Science and Technology, Shenzhen, China, in 2019, where he is currently an Assistant Professor. He also has years of experience in technical transformation and commercialization. His research interests include ultralarge-scale circuit simulation and multiphysics analysis in the field of electronic design automation (EDA), as well as EDA techniques for emerging technologies, such as sub-10-nm devices, memristors, and quantum computing.View more