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Jongwon Lee
Jongwon Lee
Verified email at postech.ac.kr
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Year
RRAM-based synapse devices for neuromorphic systems
K Moon, S Lim, J Park, C Sung, S Oh, J Woo, J Lee, H Hwang
Faraday discussions 213, 421-451, 2019
2002019
Near ideal synaptic functionalities in Li ion synaptic transistor using Li3POxSex electrolyte with high ionic conductivity
RD Nikam, M Kwak, J Lee, KG Rajput, W Banerjee, H Hwang
Scientific reports 9 (1), 1-11, 2019
702019
Controlled ionic tunneling in lithium nanoionic synaptic transistor through atomically thin graphene layer for neuromorphic computing
RD Nikam, M Kwak, J Lee, KG Rajput, H Hwang
Advanced Electronic Materials 6 (2), 1901100, 2020
532020
Ionic Sieving Through One‐Atom‐Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing
RD Nikam, J Lee, W Choi, W Banerjee, M Kwak, M Yadav, H Hwang
Small 17 (44), 2103543, 2021
412021
Excellent synaptic behavior of lithium-based nano-ionic transistor based on optimal WO2. 7 stoichiometry with high ion diffusivity
J Lee, RD Nikam, S Lim, M Kwak, H Hwang
Nanotechnology 31 (23), 235203, 2020
332020
Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems
J Lee, S Lim, M Kwak, J Song, H Hwang
Nanotechnology 30 (25), 255202, 2019
322019
Improvement of Synaptic Properties in Oxygen‐Based Synaptic Transistors Due to the Accelerated Ion Migration in Sub‐Stoichiometric Channels
J Lee, RD Nikam, M Kwak, H Kwak, S Kim, H Hwang
Advanced Electronic Materials 7 (8), 2100219, 2021
272021
Sodium-based nano-ionic synaptic transistor with improved retention characteristics
K Lee, J Lee, RD Nikam, S Heo, H Hwang
Nanotechnology 31 (45), 455204, 2020
192020
Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters Optimization
J Lee, RD Nikam, M Kwak, H Hwang
ACS Applied Materials & Interfaces, 2022
162022
Improved synaptic functionalities of Li-based nano-ionic synaptic transistor with ultralow conductance enabled by Al2O3 barrier layer
K Lee, M Kwak, W Choi, C Lee, J Lee, S Noh, J Lee, H Lee, H Hwang
Nanotechnology 32 (27), 275201, 2021
162021
Hardware implementation of neural network using pre-programmed resistive device for pattern recognition
W Choi, K Moon, M Kwak, C Sung, J Lee, J Song, J Park, SA Chekol, ...
Solid-State Electronics 153, 79-83, 2019
132019
Improved Synaptic Characteristics of Oxide-Based Electrochemical Random Access Memory at Elevated Temperatures Using Integrated Micro-Heater
J Lee, RD Nikam, M Kwak, H Hwang
IEEE Transactions on Electron Devices, 2022
112022
Determination of damage model parameters using nano-and bulk-scale digital image correlation and the finite element method
GH Gu, J Kwon, J Moon, H Kwon, J Lee, Y Kim, ES Kim, MH Seo, ...
Journal of Materials Research and Technology, 2022
102022
Highly Scalable (30 nm) and Ultra-low-energy (~ 5fJ/pulse) Vertical Sensing ECRAM with Ideal Synaptic Characteristics Using Ion-permeable Graphene Electrodes
J Lee, RD Nikam, D Kim, H Hwang
2022 International Electron Devices Meeting (IEDM), 2.2. 1-2.2. 4, 2022
82022
Nonvolatile Frequency-Programmable Oscillator with NbO2 and Li-based Electro-Chemical Random Access Memory for Coupled Oscillators-Based Temporal Pattern Recognition System
D Lee, J Lee, S Lee, C Lee, S Heo, H Hwang
IEEE Electron Device Letters, 2022
72022
Exploring the Cutting‐Edge Frontiers of Electrochemical Random Access Memories (ECRAMs) for Neuromorphic Computing: Revolutionary Advances in Material‐to‐Device Engineering
RD Nikam, J Lee, K Lee, H Hwang
Small, 2302593, 2023
62023
On-Chip Integrated Atomically Thin 2D Material Heater as a Training Accelerator for an Electrochemical Random-Access Memory Synapse for Neuromorphic Computing Application
RD Nikam, J Lee, W Choi, D Kim, H Hwang
ACS nano, 2022
62022
Analysis of bending behavior of TiN particle-reinforced martensitic steel using micro-digital image correlation
DH Kim, Y Seong, JG Kim, J Lee, MH Seo, H Hwang, HS Kim
Materials Science and Engineering: A 794, 139965, 2020
62020
Integrate-and-Fire Neuron With Li-Based Electrochemical Random Access Memory Using Native Linear Current Integration Characteristics
D Lee, J Lee, C Lee, S Kim, H Hwang
IEEE Transactions on Electron Devices, 2022
12022
Linear Frequency Modulation of NbO2-based Nanoscale Oscillator with Li-based electro-chemical random access memory for Compact Coupled Oscillatory Neural Network
D Lee, M Kwak, J Lee, J Woo, H Hwang
Frontiers in Neuroscience 16, 993, 2022
12022
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