Zhi (Jackie) Yao
Microelectronic device modeling; Computational scientist; Electromagnetic engineer
Research scientist at the Applied Mathematics and Computational Research Division of Lawrence National Berkeley Laboratory (AMCRD, LBNL)
PI, Harnessing the Power of AI and Exascale HPC for Future Microelectronics Design, LBNL
co-PI, Phononics for Next-Generation Quantum Systems, DOE
co-PI, Codesign of Ultra-Low-Voltage Beyond CMOS Microelectronics, DOE
co-PI, The ARTEMIS Code for Microelectronics, LBNL
2019 Luis W. Alvarez Postdoctoral Fellow, Computing Sciences, LBNL
Committee member, Microwave Control Materials & Devices Committee (MTT - 13), IEEE Microwave Theory & Techniques Society
Committee member, Field Theory and Computational EM Committee (MTT - 1), IEEE Microwave Theory & Techniques Society
Associate Editor, IEEE Journal on Multiscale & Multiphysics Computational Techniques (J-MMCT)
Latest News
I presented our work Harnessing the Power of Exascale Computing for Microelectronics Modeling in 10th International Congress on Industrial and Applied Mathematics (ICIAM 2023), Aug 20-25, Tokyo, Japan. check it out here
I presented our work Exploring Electrically Controlled Magnons for Post-Moore Microelectronics with Exascale Modeling in APS March Meeting, Mar 5-10, Las Vegas. check it out here
Prabhat Kumar from our team presented our work FerroX : A GPU-accelerated, 3D Phase-Field Simulation Framework for Modeling Ferroelectric Devices in APS March Meeting, Mar 5-10, Las Vegas. check it out here
I chaired and presented in our mini-symposium AI-driven Design and Optimization of Future Electronics in SIAM CSE23, Feb 26-Mar 3, 2023, Amsterdam, The Netherlands. check it out here
Research
As Moore’s Law first predicted in 1975, CMOS silicon chips are approaching limits in miniaturization and performance. It is critical to explore new physical phenomena that will lead to significantly higher energy efficiency in microelectronics. Ferroelectric, spintronic, and multiferroic materials have become leading contenders for future electronics.
Exascale Modeling
As the microelectronics community continues to explore new materials and technologies, the demand for modeling tools has exceeded current capabilities. There are ever-increasing needs for algorithmically agile, open-source software amenable to incorporation of new physics and scalability on leadership class GPU/multicore supercomputers.
Radio-frequency Devices
RF components that rely on coupled physical mechanisms have gained prominence. Devices like acoustic wave resonators and magnetically induced antennas provide excellent performance for radio frequency front-ends. This will enable broader exploitation of new mechanisms for everything from radar systems to tiny, implantable health-monitoring devices.
Latest Publications
Low-temperature grapho-epitaxial La-substituted BiFeO3 on a metallic perovskite
Sajid Husain, Isaac Harris, Guanhui Gao, Xinyan Li, Peter Meisenheimer, Chuqiao Shi, Pravin Kavle, Chi Hun Choi, Tae Yeon Kim, Deokyoung Kang, Piush Behera, Didier Perrodin, Hua Guo, James Tour, Yimo Han, Lane Martin, Zhi Yao, and Ramamoorthy Ramesh, accepted by Nature Communications.
Rui-Fu Xu, Louis-Charles Ippet-Letembet, Sidhant Tiwari, Zhi Yao, Shih-Ming Huang, Rob N Candler, Shih-Yuan Chen, Applied Physics Letters 123, no. 16, 2023.
FerroX: A GPU-accelerated, 3D phase-field simulation framework for modeling ferroelectric devices
Prabhat Kumar, Andy Nonaka, Revathi Jambunathan, Girish Pahwa, and Sayeef Salahuddin, Zhi Yao, Computer Physics Communications 290 (2023): 108757.
Manipulating chiral-spin transport with ferroelectric polarization
Xiaoxi Huang, Xianzhe Chen, John Mangeri, ... , Zhi Yao, Ramamoorthy Ramesh, under review, Link to Arxiv.
A massively parallel time-domain coupled electrodynamics-micromagnetics solver
Zhi Yao, Revathi Jambunathan, Yadong Zeng and Andy Nonaka, International Journal of High Performance Computing Applications (IJHPCA), 36(2), pp.167-181, Jan. 2022.