Conference
2025
2025
- TrioN: 3N0C RPU Cell with Minimal Power Consumption, Compact Footprint for Cross-point Array-based Analog AI Accelerator
- First Experimental Demonstration of Single-crystalline WO3-x Nanowire-based ECRAMs
- Operation Methodologies and Device Specifications for Analog AI Training Accelerator with Resistive Cross-point Arrays
- Symmetry Improvement in IGZO-based TrioN (3N0C) Cells for AI Computation
- Revealing the Switching Mechanism of ECRAM through an Independently-Contacted WO3-x Double Layer ECRAM
- Design Optimization of Capacitor-Based Synaptic Cells for Efficient Analog Neural Network Training
2024
Jeonghoon Son, Seungkun Kim, Jimin Lee, Byoungwoo Lee, Hyunjeong Kwak, Jinho Byun, Jiyong Woo, Seyoung Kim2024 IEEE International Electron Devices Meeting (IEDM)2024
- Investigation of Contact Resistance between WOx Channel and Metal Electrodes in Electrochemical Ramdom-Access Memory
- Design Strategies of 3T1C Synapse for High-efficiency Analog Neural Network Training
- Investigation of Contact Resistance between WOx Channel and Metal Electrodes in Electrochemical Ramdom-Access Memory
2023
M. Um, M. Kang, H. Kwak, K. Noh, S. Kim, and H.-M. Lee Proc. IEEE Biomed. Circuits Syst. Conf., 2023 2023
- Reservoir Optimization in Oxygen-Based Electrochemical Random-Access Memory for Improved Synaptic Characterstics
- 시냅스 소자의 Retention 특성이 Tiki-Taka 알고리즘 기반 뉴럴 네트워크 학습의 정확도에 미치는 영향에 관한 연구
- High Performance Neural Network Inference with a 3D NAND-like Synaptic Weight Storage
- A Study on Metal-oxide Based ECRAM Device Characteristics of Selector-free Cross-point Array for DNN