2026
Minwoo Jeon, and Chuljun Lee*, "Understanding the Switching Characteristics in ECRAM Through Reservoir and Electrolyte Engineering", (Pending)
Minwoo Jeon, Youngdong Kim, Daeseok Lee, and Chuljun Lee*, "Enhanced the Switching Characteristics in H-ECRAM through density-controlled ZrO2 electrolyte via Low-Temperature Atomic Layer Deposition", Nanotechnology (in revision)
Seojin Cho, Chuljun Lee*, Yuna Kim, Minsu Kang, Hyejin Kim, Yunsur Kim, Jiyong Woo, and Daeseok Lee, "Scalable and Energy-Efficient Peierls Transition Neuron for Monolithic Integrated Neural Network", (Pending)
Yuna Kim, Seojin Cho, Minsu Kang, Sion Kim, Yunsur Kim, Jiyong Woo, Chuljun Lee, and Daeseok Lee, "Energy- and Area-Efficient Ionic-Switch Activation Neuron for Monolithic 3D Neural Network Architectures," ACS Nano, vol. , no. , 2026.
Seongjae Heo, and Chuljun Lee*, "Improved Switching Characteristics of an Atomic Switch Device by Highly Restricted Ag Doping", Nanotechnology, vol., no., 2026.
Chuljun Lee*, “Investigation of Metal Oxide with Low Forming Voltage for Filament-type Resistive Switching Vertical NAND,” Nano Convergence Conference (NCC) , 2026.
Minwoo Jeon, Kyumin Hwang, and Chuljun Lee*, "Protonic Electrochemical Random-Access Memory (ECRAM) with Improved ALD ZrO2 Electrolyte for Neuromorphic computing", The 33st Korean Conference on Semiconductors (KCS), 2026
Kyumin Hwang, Minwoo Jeon, Daeseok Lee, and Chuljun Lee*, "Complementary Two- and Three-Terminal Pr0.7Ca0.3MnO3 (PCMO)-based Resistive Switching Device for neuromorphic computing", The 33st Korean Conference on Semiconductors (KCS), 2026 _ 우수 포스터상
2025
Chuljun Lee*, Dongmin Kim, Seojin Cho, and Daeseok Lee, "Improvement of the weight update and retention characteristics of Pr0.7Ca0.3MnO3−x ECRAM via elevated temperature training", Nanoscale, vol. , no. , 2025.
Seojin Cho, Geonhui Han, Chuljun Lee, Jiyoung Woo, and Daeseok Lee, "Interface effect based nano-scale TiOX vertical synapse device for high-density integration in neuromorphic computing system", Nanotechnology, vol. , no. , 2025.
2024
Sunhyung Lee, Chuljun Lee, Ohhyeok Kwon, and Hyunsang Hwang, "Controllable multilevel quantized conduction states in vertical CBRAM using Cu-nanodot ion source", Applied Physics Letters, vol. , no. , 2024.
Seojin Cho, Chuljun Lee, and Daeseok Lee, "Synapse Device based Neuromorphic System for Biomedical Applications", Biomedical Engineering Letters, vol. , no. , 2024.
Geonhui Han, Youngdong Kim, Jaeseon Kim, Dongming Kim, Yoori Seo, Chuljun Lee, Jinmyung Choi, Jinwoo Lee, Dongho Ahn, Sechung Oh, Donghwa Lee, and Hyunsang Hwang “Highly Scalable Vertical Bypass RRAM (VB-RRAM) for 3D V-NAND Memory,” 2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2024.
2022
Wooseok Choi, Myonghoon Kwak, Donguk Lee, Sangmin Lee, Chuljun Lee, Seyoung Kim, and Hyunsang Hwang, "Effect of Stochastic Resonance on Classification Accuracy of Neural Networks Utilizing Inherent Stochasticity in Threshold Voltage of Ovonic Threshold Switching Device," IEEE Journal of the Electron Devices Society, 2022.
Wooseok Choi, Wonjae Ji, Seongjae Heo, Donguk Lee, Kyungmi Noh, Chuljun Lee, Jiyong Woo, Seyoung Kim, and Hyunsang Hwang, "Exploiting Read Current Noise of TiOx Resistive Memory by Controlling Forming Conditions for Probabilistic Neural Network Hardware," IEEE Electron Device Letters, 2022.
Donguk Lee, Jongwon Lee, Chuljun Lee, Seyoung Kim, and Hyunsang Hwang, "Integrate-and-Fire Neuron With Li-Based Electrochemical Random Access Memory Using Native Linear Current Integration Characteristics," IEEE Transactions on Electron Devices, 2022.
Donguk Lee, Jongwon Lee, Sangmin Lee, Chuljun Lee, Sungjae Heo, and Hyunsang Hwang, "Nonvolatile Frequency-Programmable Oscillator With NbO₂ and Li-Based Electro-Chemical Random Access Memory for Coupled Oscillators-Based Temporal Information Processing," IEEE Electron Device Letters, 2022.
2021
Chuljun Lee*, Myonghoon Kwak, Wooseok Choi, Seyoung Kim, and Hyunsang Hwang, "Improved On-Chip Training Efficiency at Elevated Temperature and Excellent Inference Accuracy with Retention (>10⁸ s) of ECRAM Synapse," 2021 IEEE International Electron Devices Meeting (IEDM), 2021.
Chuljun Lee*, Wooseok Choi, Myonghoon Kwak, Seyoung Kim, and Hyunsang Hwang, "Excellent Synapse Characteristics of 50 nm Vertical Transistor with WOₓ Channel for High-Density Neuromorphic System," 2021 Symposium on VLSI Technology, 2021.
Chuljun Lee*, Wooseok Choi, Myonghoon Kwak, Seyoung Kim, and Hyunsang Hwang, "Impact of Electrolyte Density on Synaptic Characteristics of Oxygen-Based Ionic Synaptic Transistor," Applied Physics Letters, vol. 119, 2021.
Chuljun Lee*, Jae-Eun Lee, Myungjun Kim, Yubin Song, Geonhui Han, Jongseon Seo, Dong-Wook Kim, Young-Ho Seo, Hyunsang Hwang, and Daeseok Lee, "Li Memristor-Based MOSFET Synapse for Linear I–V Characteristic and Processing Analog Input Neuromorphic System," Japanese Journal of Applied Physics, vol. 60, 2021.
Geonhui Han, Chuljun Lee, Jae-Eun Lee, Jongseon Seo, Myungjun Kim, Yubin Song, Young-Ho Seo, and Daeseok Lee, "Alternative Negative Weight for Simpler Hardware Implementation of Synapse Device-Based Neuromorphic System," Scientific Reports, vol. 11, 2021.
Hyunjeong Kwak, Chuljun Lee, Chaeun Lee, Kyungmi Noh, and Seyoung Kim, "Experimental Measurement of Ungated Channel Region Conductance in a Multi-Terminal, Metal Oxide-Based ECRAM," Semiconductor Science and Technology, 2021.
Kyumin Lee, Myonghoon Kwak, Wooseok Choi, Chuljun Lee, Jongwon Lee, Sujung Noh, Jisung Lee, Hansaem Lee, and Hyunsang Hwang, "Improved Synaptic Functionalities of Li-Based Nano-Ionic Synaptic Transistor with Ultralow Conductance Enabled by Al₂O₃ Barrier Layer," Nanotechnology, vol. 32, 2021.
Myungjun Kim, Jae-Eun Lee, Chuljun Lee, Yubin Song, Geonhui Han, Jongseon Seo, Dong-Wook Kim, Young-Ho Seo, Hyunsang Hwang, and Daeseok Lee, "Multinary Data Processing Based on Nonlinear Synaptic Devices," Journal of Electronic Materials, vol. 50, 2021.
Wooseok Choi, Chuljun Lee, Sujung Noh, Jisung Lee, Hansaem Lee, Seyoung Kim, and Hyunsang Hwang, "Impact of Operating Temperature on Pattern Recognition Accuracy of Resistive Array-Based Hardware Neural Networks," IEEE Electron Device Letters, vol. 42, no. 4, 2021.
Myonghoon Kwak, Wooseok Choi, Seongjae Heo, Chuljun Lee, Revannath Nikam, Seyoung Kim, and Hyunsang Hwang, "Excellent Pattern Recognition Accuracy of Neural Networks Using Hybrid Synapses and Complementary Training," IEEE Electron Device Letters, vol. 42, no. 3, 2021.
Seongjae Heo, Junjong Lee, Sangmin Lee, Seungwoo Lee, Chuljun Lee, Rock-Hyun Baek, and Hyunsang Hwang, "High-Speed Ternary CMOS Inverter by Monolithic Integration of NbO₂ Threshold Switch with MOSFET," 2021 IEEE International Electron Devices Meeting (IEDM), 2021.
Myonghoon Kwak, Sangmin Lee, Wooseok Choi, Chuljun Lee, Seyoung Kim, and Hyunsang Hwang, "OTS-Based Analog-to-Stochastic Converter for Fully-Parallel Weight Update in Cross-Point Array Neural Networks," 2021 Symposium on VLSI Technology, 2021.
2020
Chuljun Lee*, Krishn Gopal Rajput, Wooseok Choi, Myonghoon Kwak, Revannath Dnyandeo Nikam, Seyoung Kim, and Hyunsang Hwang, "Pr₀.₇Ca₀.₃MnO₃-Based Three-Terminal Synapse for Neuromorphic Computing," IEEE Electron Device Letters, vol. 41, 2020.
Jae-Eun Lee, Chuljun Lee, Dong-Wook Kim, Daeseok Lee, and Young-Ho Seo, "An On-Chip Learning Method for Neuromorphic Systems Based on Non-Ideal Synapse Devices," Electronics, vol. 9, 2020.
Wooseok Choi, Sang-Gyun Gi, Donguk Lee, Seokjae Lim, Chuljun Lee, Byung-Geun Lee, and Hyunsang Hwang, "WOₓ-Based Synapse Device With Excellent Conductance Uniformity for Hardware Neural Networks," IEEE Transactions on Nanotechnology, vol. 19, 2020.
2019
Chuljun Lee*, Jae-Eun Lee, Myungjun Kim, Jiyong Woo, Sang-Mo Koo, Jong-Min Oh, and Daeseok Lee, "Two-Terminal Structured Synaptic Device Using Ionic Electrochemical Reaction Mechanism for Neuromorphic System," IEEE Electron Device Letters, vol. 40, 2019.
Chuljun Lee*, Myung-Yeon Cho, Myungjun Kim, Jiyun Jang, Yoonsub Oh, Kihoon Oh, Seunghyun Kim, Byungwook Park, Byungkwan Kim, Sang-Mo Koo, Jong-Min Oh, and Daeseok Lee, "Applicability of Aerosol Deposition Process for Flexible Electronic Device and Determining the Film Formation Mechanism With Cushioning Effects," Scientific Reports, vol. 9, 2019.
Chuljun Lee*, Myungjun Kim, Myung-Yeon Cho, Sang-Mo Koo, Jong-Min Oh, and Daeseok Lee, "Electrical Effect of High-Field Induced Diffusive Metal in the Ceramic Film Deposited by the Aerosol Deposition Method," Electronic Materials Letters, vol. 15, 2019.
Yunseok Choi, Chuljun Lee, Myungjun Kim, Yubin Song, Hyunsang Hwang, and Daeseok Lee, "Structural Engineering of Li-Based Electronic Synapse for High Reliability," IEEE Electron Device Letters, vol. 40, 2019.
Myungjun Kim, Chuljun Lee, Yubin Song, Sang-Mo Koo, Jong-Min Oh, Jiyong Woo, and Daeseok Lee, "Energy-Storing Hybrid 3D Vertical Memory Structure," IEEE Electron Device Letters, vol. 40, 2019.
Jaesung Park, Chuljun Lee*, Myonghoon Kwak, S. A. Chekol, Seokjae Lim, Myungjun Kim, Jiyong Woo, Hyunsang Hwang, and Daeseok Lee, "Microstructural Engineering in Interface-Type Synapse Device for Enhancing Linear and Symmetric Conductance Changes," Nanotechnology, vol. 30, 2019.
Jae-Eun Lee, Chuljun Lee, Daeseok Lee, Dong-Wook Kim, and Young-Ho Seo, "Optimization of Deep Neural Network for Neuromorphic System," 2019 34th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2019.
Jae-Eun Lee, Chuljun Lee, Daeseok Lee, Dong-Wook Kim, and Young-Ho Seo, "Uniform Quantization Method for Synaptic Device," Proceedings of the Korean Society of Broadcast Engineers Conference, 2019.
2018
Chuljun Lee*, Sang-Mo Koo, Jong-Min Oh, Kyoung-Sook Moon, and Daeseok Lee, "Selectable Titanium-Oxide Based Critical and Differential Temperature Sensor in a Single Device," IEEE Electron Device Letters, vol. 39, 2018.
Chuljun Lee*, Sang-Mo Koo, Jong-Min Oh, and Daeseok Lee, "Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System," IEEE Journal of the Electron Devices Society, vol. 6, 2018.
Chuljun Lee*, Myungjun Kim, Sang-Mo Koo, Jong-Min Oh, and Daeseok Lee, "Titanium-Oxide Based Nanoscale and Embeddable Subzero Temperature Sensor Using MIT Deformation Characteristics," Nanotechnology, vol. 29, 2018.
Chuljun Lee*, et al., “Resistive Switching Characteristics of Aerosol Deposition Method Based Conductive Bridge Random Access Memory”, 2018 ISAF-FMA-AMF-AMEC-PFM
Chuljun Lee*, et al.,, “Li-ion based Two-terminal Synaptic Device for Neuromorphic System” The 26st Korean Conference on Semiconductors (KCS),
Chuljun Lee*, et al.,“Nano-scaled and Embeddable Titanium-oxide Based Sub-zero Temperature Sensor with High Uniformity and Stability”, The Korean Institute of Electrical and Electronic Materials Engineers