Public Research Seminar by Microelectronics Thrust - Device Modeling and Circuit Design for Beyond-CMOS and Artificial Intelligence Hardware
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Emerging technologies provide potential solutions to overcome the limitations of modern CMOS technologies. Specifically, as power density limitations impede further CMOS scaling, emerging technologies including spintronics, memristors, ambipolar transistors, and other beyond-CMOS devices are promising replacements for conventional CMOS transistors due to features such as non-volatility, low energy consumption, high operation speed, or high logical expressiveness. However, the inadequacies of current modeling techniques inhibit the design of large-scale systems that exploit these novel devices.
This presentation describes a variety of proposals for beyond-CMOS computing systems using emerging technologies. Spintronic technologies such as domain wall-magnetic tunnel junctions (DW-MTJs) and magnetic skyrmions are particularly exciting for highly-efficient non-volatile information processing. Additionally, unconventional electronic switching devices including ambipolar transistors and memristors are also investigated as replacements to CMOS and for hybrid emerging technology-CMOS computing systems. By exploiting low energy switching, reconfigurability, non-volatility and unique operating mechanisms, these emerging technologies provide the potential to revolutionize information processing for the next generation of computing system.
Dr. Xuan (Shaun) Hu received his Ph.D. in Electrical Engineering from the Erik Jonsson School of Engineering & Computer Science at The University of Texas at Dallas in 2021. Previously, he also received the B.S. degree in Electrical and Information Engineering in 2013 from Huaqiao University and the M.S. degree in Electrical Engineering in 2015 from Arizona State University. His research has focused on the circuit design and modeling of efficient logic and neuromorphic circuits composed of ambipolar carbon nanotubes, skyrmions, magnetic domain-wall devices, memristors, and multi-gate transistors.
For enquiries, please contact Miss Annie WU (+86-20-36665041, anniewu@ust.hk )