Lee, Seung Hwan

A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations

Cai, F., Correll, J. M., Lee, S. H., Lim, Y., Bothra, V., Zhang, Z., Flynn, M. P., & Lu, W. D. (2019) · Nature Electronics

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 728

Temporal data classification and forecasting using a memristor-based reservoir computing system

Moon, J., Ma, W., Shin, J. H., Cai, F., Du, C., Lee, S. H., & Lu, W. D. (2019) · Nature Electronics

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 645

Integration of 4F2 selector-less crossbar array 2Mb ReRAM based on transition metal oxides for high density memory applications

Lee, H. D., Kim, S. G., Cho, K., Hwang, H., Choi, H., Lee, J., Lee, S. H., Lee, H. J., Suh, J., Chung, S.-O., et al. (2012) · 2012 Symposium on VLSI Technology (VLSIT)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 68

A Fully Integrated Reprogrammable CMOS-RRAM Compute-in-Memory Coprocessor for Neuromorphic Applications

Correll, J. M., Bothra, V., Cai, F., Lim, Y., Lee, S. H., Lee, S., Lu, W. D., Zhang, Z., & Flynn, M. P. (2020) · IEEE Journal on Exploratory Solid-State Computational Devices and Circuits

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 36