Biography
Research Interests
Brain-like computing algorithms and computer architectures
Memristor-based ASIC for NP-hard combinatorial optimizations
Neuromorphic devices compact modeling
Nano-scale heat&charge transport in thermoelectric devices
Educational Background
Ph.D., Texas A&M University – 2017
M.S., Korea Advanced Institute of Science and Technology – 2012
B.S., SungKyunKwan University – 2010
Awards & Honors
Awards & Honors
- Graduate Teaching Fellowship, Texas A&M University, 2016
- Texas A&M Energy Institute Research Workshop 2015 Poster Award, 2015
Publications
Selected Publications
- S. Yi, J. Kendall, R. S. Williams, and S. Kumar, “Activity-difference Training of Deep Neural Networks using Memristor crossbars”, Nature Electronics, 2022
- S. Yi, S. P. Rath, T. Venkatesan, S. Gosawami, R. S. Williams, and S. Goswami. “Energy and Space Efficient Parallel Adder using Molecular Memristors”, Advanced Materials, 2022
- S. Yi, S. Kumar, and R. S. Williams, “Improved Hopfield Network Optimization using Manufacturable Three-terminal Electronic Synapses”, IEEE Transactions on Circuits and Systems-I, 68, 12, 4970-4978, December 2021
- S. Yi, A. A. Talin, M. J. Marinella, and R. S. Williams. “Physical Compact Model for Three-Terminal SONOS Synaptic Circuit Element”, Advanced Intelligent Systems, May 2022
- S. Yi and C. Yu. “Variation of Thermoelectric Figure-of-Merits for Mg2SixSn1-x Solid Solutions”, Journal of Physics D: Applied Physics, 54, 5, 055504, 1-10, February 2021