Sangheon Oh

According to our database, Sangheon Oh authored at least 8 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Patrick S. Finnegan, Patrick Crandall, Christopher H. Bennett, William Wahby, Robin Jacobs-Gedrim, Matthew J. Marinella, Suhas Kumar, Sapan Agarwal, Yiyang Li, A. Alec Talin, Elliot J. Fuller

CoRR, May, 2025

2024

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, Elliot J. Fuller, Sapan Agarwal, A. Alec Talin

Proceedings of the Device Research Conference, 2024

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., September, 2023

Energy Efficient Hardware Implementation of Neural Networks Using Emerging Non-Volatile Memory Devices

Sangheon Oh

PhD thesis, 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

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2018

Drift-enhanced Unsupervised Learning with PCM Synapses.

Yuhan Shi, Sangheon Oh, Xin Liu, Duygu Kuzum

Proceedings of the 76th Device Research Conference, 2018

2016

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