Seminars
Seminars occur on Tuesday afternoons in ISB 130 and run between 1:30-2:30 PM Pacific with a hybrid option over Zoom unless otherwise posted. To join the mailing list, please contact Prof. Brianne Gutmann at brianne.gutmann@sjsu.edu with the words "Seminars and Events" included in the subject heading.
This Week
Design and Optimization of Beyond Moore Microelectronics Using Ferroic Materials
Zhi (Jackie) Yao, Lawrence Berkeley National Laboratory
Tuesday, 11/19/2024, 1:30-2:30pm Pacific
Abstract: To address the ever-growing challenge of energy consumption in computing in the new information technology (IT) era, correlated materials such as ferromagnets and multiferroics have been integrated into microelectronic devices, offering a promising pathway to develop next-generation, beyond-CMOS microelectronics and reduce energy dissipation. Device-level studies of these novel materials bridge the gap between atomistic material physics and integrated circuit-level studies, enabling researchers from these areas to connect through a high-fidelity approach. In this talk, I will introduce our efforts in implementing device modeling algorithms that fully leverage modern supercomputing architectures, as well as experimental demonstrations of the proposed devices. We explore innovative devices such as compact magnetoelectric spin-orbit logic (MESO) and negative-capacitance field-effect transistors (NCFET) and seek to inspire new devices, such as strain-mediated magnetoelectric antennas. My future research aims to innovate both in silico and in physical systems to develop the next generation of microelectronics. This will be achieved by collaboratively building a co-design ecosystem that operates at the scale and fidelity required for scientific discovery. To accomplish this, I am seeking collaborators across fields including ab initio calculations, material synthesis, device fabrication and characterization, and IC and architecture design, with the goal of synergizing expertise for transformative, atom-to-architecture co-design.
Bio: Zhi (Jackie) Yao is currently a research scientist in the Computational Research Division
of Lawrence Berkeley National Laboratory (LBNL). Prior to this role, she was the 2019
Luis W. Alvarez postdoctoral fellow in the Computing Sciences Area of LBNL. Before
joining LBNL in Nov. 2019, she was a postdoctoral researcher in the Electrical and
Computer Engineering Department at University of California, Los Angeles (UCLA) from
Jan. 2018 to Sep. 2019. She obtained the M.S. degree in Jun. 2014 and the Ph.D. degree
in Dec. 2017, both from the ECE Department at UCLA. She was recognized as the EECS
Rising Star in 2019 by UIUC, and is the recipient of multiple awards, including 2023
LBNL Director’s Award for Exceptional Achievement Early Scientific Career, 1st Place
in Best Student Paper Competition of the 2017 IEEE International Microwave Symposium
(IMS), the 2015 Qualcomm Innovation Fellowship, and the 2014 Best Masters’ Thesis
of UCLA ECE. Her research areas include microelectronic device modeling, mesoscopic
computational materials, electromagnetism, magnetism, ferroelectrics and multiferroics.
She intends to invest her interdisciplinary training to investigate the co-design
of novel electronics and how such insights inspire new electronic applications and
devices. Personal website: http://go.lbl.gov/jackiezhiyao.
