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ORCIDSangheon Oh
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2020 – today
- 2024
[c3]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:
Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. DRC 2024: 1-2- 2023
- [b1]Sangheon Oh:
Energy Efficient Hardware Implementation of Neural Networks Using Emerging Non-Volatile Memory Devices. University of California, San Diego, USA, 2023 - [j2]Yuhan Shi
, Sangheon Oh, Jaeseoung Park, Javier del Valle, Pavel Salev, Ivan K. Schuller, Duygu Kuzum:
Integration of Ag-CBRAM crossbars and Mott ReLU neurons for efficient implementation of deep neural networks in hardware. Neuromorph. Comput. Eng. 3(3): 34007 (2023) - [c2]Soumil Jain, Gopabandhu Hota, Yuhan Shi, Sangheon Oh, Jiajia Wu, Preston Fowler, Duygu Kuzum, Gert Cauwenberghs:
A Versatile and Efficient Neuromorphic Platform for Compute-in-Memory with Selector-less Memristive Crossbars. ISCAS 2023: 1-4 - [i1]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:
Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge. CoRR abs/2310.13844 (2023)
2010 – 2019
- 2018
- [c1]Yuhan Shi, Sangheon Oh, Xin Liu, Duygu Kuzum:
Drift-enhanced Unsupervised Learning with PCM Synapses. DRC 2018: 1-2 - 2016
- [j1]Sangheon Oh, Changhwan Shin:
Design Optimization for Process-Variation-Tolerant 22-nm FinFET-Based 6-T SRAM Cell with Worst-Case Sampling Method. IEICE Trans. Electron. 99-C(5): 541-543 (2016)
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