معرفی
Yiyang Li is an Assistant Professor in the Department of Materials Science and Engineering at the University of Michigan, College of Engineering, specializing in electrochemical materials for energy storage and brain-inspired computing systems.
Education:
- BS in Electrical and Computer Engineering from Olin College of Engineering (2011)
- PhD in Materials Science and Engineering from Stanford University (2016)
His research centers on leveraging high-density point defects (>1022 cm-3) in ionic materials for dynamic electrochemical doping. The first thrust examines individual Li-ion battery particles to uncover fundamental electrochemical properties, while the second develops analogue non-volatile memory elements for neuromorphic computing—potentially reducing machine learning energy consumption by two orders of magnitude through parallelized matrix operations.
His work demonstrates significant trends in utilizing lithium, proton, and oxygen ions within host materials to enable high-density energy and information storage via redox processes.
Awards:
- Truman Fellow at Sandia National Labs (2017-2020)
Dr. Li actively recruits graduate students and postdocs for his newly formed research group starting September 2020, with current teaching responsibilities including MSE550: Fundamentals of Materials Science and Engineering. Prospective students must apply through UM departments before contacting him.
The Li Group (http://ligroup.engin.umich.edu) operates from 2118 H.H. Dow and focuses on electrochemical redox systems for next-generation energy and computing applications.
