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Myonghoon Kwak

Showing results (1-10 of 7) with videos related to

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Frontiers in Neuroscience|July 12, 2021
Neural Network Training Acceleration With RRAM-Based Hybrid SynapsesWooseok Choi, Myonghoon Kwak, Seyoung Kim, et al.
ACS Applied Materials & Interfaces|March 8, 2022
Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters OptimizationJongwon Lee, Revannath Dnyandeo Nikam, Myonghoon Kwak, et al.
Nanotechnology|March 1, 2019
Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systemsJongwon Lee, Seokjae Lim, Myonghoon Kwak, et al.
Frontiers in Neuroscience|July 18, 2022
Linear Frequency Modulation of NbO<sub>2</sub>-Based Nanoscale Oscillator With Li-Based Electrochemical Random Access Memory for Compact Coupled Oscillatory Neural NetworkDonguk Lee, Myonghoon Kwak, Jongwon Lee, et al.
Nanotechnology|February 25, 2020
Excellent synaptic behavior of lithium-based nano-ionic transistor based on optimal WO<sub>2.7</sub> stoichiometry with high ion diffusivityJongwon Lee, Revannath Dnyandeo Nikam, Seokjae Lim, et al.
Scientific Reports|December 13, 2019
Near ideal synaptic functionalities in Li ion synaptic transistor using Li<sub>3</sub>PO<sub>x</sub>Se<sub>x</sub> electrolyte with high ionic conductivityRevannath Dnyandeo Nikam, Myonghoon Kwak, Jongwon Lee, et al.
Small (Weinheim an Der Bergstrasse, Germany)|October 1, 2021
Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic ComputingRevannath Dnyandeo Nikam, Jongwon Lee, Wooseok Choi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroscience|July 12, 2021
Neural Network Training Acceleration With RRAM-Based Hybrid SynapsesWooseok Choi, Myonghoon Kwak, Seyoung Kim, et al.
ACS Applied Materials & Interfaces|March 8, 2022
Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters OptimizationJongwon Lee, Revannath Dnyandeo Nikam, Myonghoon Kwak, et al.
Nanotechnology|March 1, 2019
Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systemsJongwon Lee, Seokjae Lim, Myonghoon Kwak, et al.
Frontiers in Neuroscience|July 18, 2022
Linear Frequency Modulation of NbO<sub>2</sub>-Based Nanoscale Oscillator With Li-Based Electrochemical Random Access Memory for Compact Coupled Oscillatory Neural NetworkDonguk Lee, Myonghoon Kwak, Jongwon Lee, et al.
Nanotechnology|February 25, 2020
Excellent synaptic behavior of lithium-based nano-ionic transistor based on optimal WO<sub>2.7</sub> stoichiometry with high ion diffusivityJongwon Lee, Revannath Dnyandeo Nikam, Seokjae Lim, et al.
Scientific Reports|December 13, 2019
Near ideal synaptic functionalities in Li ion synaptic transistor using Li<sub>3</sub>PO<sub>x</sub>Se<sub>x</sub> electrolyte with high ionic conductivityRevannath Dnyandeo Nikam, Myonghoon Kwak, Jongwon Lee, et al.
Small (Weinheim an Der Bergstrasse, Germany)|October 1, 2021
Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic ComputingRevannath Dnyandeo Nikam, Jongwon Lee, Wooseok Choi, et al.
Pageof 1