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Brandon Zink (Assoc)
PREP Associate
Brandon Zink is a University of Maryland PREP associate in the Alternate Computing Group in the Nanoscale Device Characterization Division of the Physical Measurements Lab (PML). He received a B.S. in physics from the University of Wisconsin La Crosse, an M.S. in physics from the University of Minnesota Duluth, and a PhD in electrical engineering from the University of Minnesota Twin Cities. For his doctoral research, he studied the unique properties of magnetic tunnel junctions for applications as stochastic computing units, probabilistic bits, components as in-memory computing cells, and radiation-hard memory for space exploration. For his current work, he is focused on hardware demonstration of intermediate scale in-memory computing as well as demonstrating efficient implementation of stochastic computing for neuromorphic computing applications using non-volatile memory technologies integrated with CMOS.
SELECTED PUBLICATIONS
- A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM), Zink, B. R., Lv, Y., Zabihi, M., Cilsun, H., Sapatnekar, S. S., Karpuzcu, U. R., Riedel, M. and Wang, J.-P., IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 9, pp. 29-37 (2023).
- Review of Magnetic Tunnel Junctions for Stochastic Computing, Zink, B. R., Lv, Y., and Wang, J.-P., IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 8, pp. 173-184 (2022).
- Ultralow Current Switching of Synthetic-Antiferromagnetic Magnetic Tunnel Junctions Via Electric-Field Assisted by Spin-Orbit Torque, Zink, B. R., Zhang, D., Li, H., Benally, O. J., Lv, Y., Lyu, D., Wang, J.-P., Advanced Electronic Materials 8, 2200382 (2022).
- Bipolar Random Spike and Bipolar Random Number Generation by Two Magnetic Tunnel Junctions, Lv, Y., Zink, B. R., and Wang, J.-P., IEEE Transactions on Electron Devices 69, pp. 1582-1587 (2022).
- Telegraphic switching signals by magnetic tunnel junctions for neural spiking signals with high information capacity, Zink, B. R., Lv, Y., and Wang, J.-P., Journal of Applied Physics 124, 152121 (2018).