Design Optimization for Process-Variation-Tolerant 22-nm FinFET-Based 6-T SRAM Cell with Worst-Case Sampling Method. - Sangheon Oh; Changhwan Shin (IEICE Trans. Electron., 2016)

Drift-enhanced Unsupervised Learning with PCM Synapses. - Yuhan Shi; Sangheon Oh; Xin Liu 062; Duygu Kuzum (DRC, 2018)

A Versatile and Efficient Neuromorphic Platform for Compute-in-Memory with Selector-less Memristive Crossbars. - Soumil Jain; Gopabandhu Hota; Yuhan Shi; Sangheon Oh; Jiajia Wu; Preston Fowler; Duygu Kuzum; Gert Cauwenberghs (ISCAS, 2023)

Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge. - Jaeseoung Park; Ashwani Kumar; Yucheng Zhou; Sangheon Oh; Jeong-Hoon Kim; Yuhan Shi; Soumil Jain; Gopabandhu Hota; Amelie L. Nagle; Catherine D. Schuman; Gert Cauwenberghs; Duygu Kuzum (CoRR, 2023)

Energy Efficient Hardware Implementation of Neural Networks Using Emerging Non-Volatile Memory Devices - Sangheon Oh (2023)

Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware. - Yuhan Shi; Sangheon Oh; Jaeseoung Park; Javier del Valle; Pavel Salev; Ivan K. Schuller; Duygu Kuzum (Neuromorph. Comput. Eng., 2023)

Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. - Sangheon Oh; T. Patrick Xiao; Christopher H. Bennett; Patrick S. Finnegan; Sean R. Bishop; Adam S. Christensen; Adam L. Gross; Sangyong Lee; Andrew Jalbert; Leah Simakas; Joshua D. Sugar; Yiyang Li; et al. (DRC, 2024)

Self-heating electrochemical memory for high-precision analog computing. - Adam L. Gross; Sangheon Oh; François Léonard; Wyatt Hodges; T. Patrick Xiao; Joshua D. Sugar; Jacklyn Zhu; Sritharini Radhakrishnan; Sangyong Lee; Jolie Wang; Adam S. Christensen; Sam Lilak; et al. (CoRR, 2025)