Zhi (Jackie) Yao
Electromagnetic engineer; Microelectronic device modeling; Computational scientist
Research scientist at the Applied Mathematics and Computational Research Division of Lawrence National Berkeley Laboratory (AMCRD, LBNL), 2022 -
Grants
PI, Harnessing the Power of AI and Exascale HPC for Future Microelectronics Design, LBNL Early Career Laboratory Directed Research & Development (LDRD), 2023 -
co-PI, Phononics for Next-Generation Quantum Systems, DOE, 2023 -
co-PI, Nanoscale Hybrids: a New Paradigm for Energy-Efficient Optoelectronics, DOE, 2021 -
co-PI, Codesign of Ultra-Low-Voltage Beyond CMOS Microelectronics, DOE, 2021 - 2024
co-PI, The ARTEMIS Code for Microelectronics, LBNL, 2021 - 2023
PI, Engineering Wave-Material Interactions for Innovative Electronics, LBNL Laboratory Directed Research & Development (LDRD), 2019-2022
2019 Luis W. Alvarez Postdoctoral Fellow, Computing Sciences, LBNL, 2019 - 2022
Associate Editor, IEEE Journal Multiscale & Multiphysics Computational Techniques (J-MMCT), 2019 -
Committee member, Microwave Control Materials & Devices Committee (MTT - 13), IEEE Microwave Theory & Techniques Society, 2019 -
Committee member, Field Theory and Computational EM Committee (MTT - 1), IEEE Microwave Theory & Techniques Society, 2019 -
Latest News
I was invited to present our work Design and Optimization of Beyond Moore Microelectronics Using Ferroic Materials at the San Jose State University Dept. Physics & Astronomy on Nov. 19, 2024.
Prabhat Kumar from our team won the Best poster at the Society for Industrial and Applied Mathematics (SIAM)–Northern and Central California Conference on Oct 11, 2024. Learn more about the work.
I was invited to present our work Atom-to-Architecture Co-Design of Next-Generation High-Efficiency Microelectronics through High-Fidelity Device Modeling in Materials Science & Technology (MS&T) technical meeting and exhibition on Oct. 08, 2024.
I represented LBNL in DOE's 2024 Analog Computing Workshop, discussing and identifying priority research directions in analog computing for science.
I represented our work Atom-to-Architecture Co-Design of Next-Generation High-Efficiency Microelectronics through High-Fidelity Device Modeling in IEEE Microwave Theory and Techniques (MTT-S) monthly webinar, Jun. 11, 2024.
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.
EM & RF 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
Modeling of multiferroic antennas in the Akhiezer regime: effects of acoustic resonator excitation and topology on radiation
L. -C. Ippet-Letembet, R. -F. Xu, R. Jeanty, Z. Yao, R. N. Candler and S. -Y. Chen, IEEE Transactions on Antennas and Propagation, vol. 1, pp. 1, 2024. [doi]
3D ferroelectric phase field simulations of polycrystalline multi-phase hafnia and zirconia based ultra-thin films
P. Kumar*, M. Hoffmann, A. Nonaka, S. Salahuddin, Z. Yao*, Advanced Electronic Materials (2024): 2400085. [doi]Designed Spin-Texture-Lattice to Control Anisotropic Magnon Transport in Antiferromagnets
P. Meisenheimer, M. Ramesh, S. Husain, I. Harris, H.W. Park, S. Zhou, H. Taghinejad, H. Zhang, L. W. Martin, J. Analytis, P. Stevenson, J. Iniguez-Gonzalez, S. K. Kim, D. G. Schlom, L. Caretta, Z. Yao, R. Ramesh, Advanced Materials, 2024, 2404639. [doi]Experimental validation of multiferroic antennas in GHz frequency range
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, et al., Nature Materials 23, 898–904 (2024).
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.