Wooseok Choi

About Wooseok Choi

Wooseok Choi, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Pohang University of Science and Technology, specializes in the field of Neuromorphic devices, Emerging memory devices.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhanced ON/OFF Ratio (4× 105) and Robust Endurance (> 1010) in an InGaZnO/HfxZr1-xO2 Ferroelectric Diode via Defect Engineering

Inherent Stochasticity of Ovonic Threshold Switch for Neuronal Dropout of Edge-AI Hardware

Weight confirmation method for an analog synaptic device of an artificial neural network

Experimental Demonstration of Probabilistic-Bit (p-bit) Utilizing Stochastic Oscillation of Threshold Switch Device

Three-terminal synaptic device

NbO2 selector device with Ge2Sb2Te5 thermal barrier for low off current (300 nA) and low power operation

Neuromorphic hardware apparatus based on a resistive memory array

Apparatus and method for neural network learning using synapse based on multi element

Wooseok Choi Information

University

Position

___

Citations(all)

270

Citations(since 2020)

270

Cited By

40

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Wooseok Choi Skills & Research Interests

Neuromorphic devices

Emerging memory devices

Top articles of Wooseok Choi

Enhanced ON/OFF Ratio (4× 105) and Robust Endurance (> 1010) in an InGaZnO/HfxZr1-xO2 Ferroelectric Diode via Defect Engineering

IEEE Transactions on Electron Devices

2024/3

Inherent Stochasticity of Ovonic Threshold Switch for Neuronal Dropout of Edge-AI Hardware

IEEE Electron Device Letters

2023/6/26

Weight confirmation method for an analog synaptic device of an artificial neural network

2023/6/15

Experimental Demonstration of Probabilistic-Bit (p-bit) Utilizing Stochastic Oscillation of Threshold Switch Device

2023/6/11

Three-terminal synaptic device

2023/6/1

NbO2 selector device with Ge2Sb2Te5 thermal barrier for low off current (300 nA) and low power operation

Applied Physics Letters

2023/3/13

Neuromorphic hardware apparatus based on a resistive memory array

2023/2/16

Apparatus and method for neural network learning using synapse based on multi element

2022/11/3

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

2022/8/1

On-chip integrated atomically thin 2D material heater as a training accelerator for an electrochemical random-access memory synapse for neuromorphic computing application

ACS nano

2022/7/19

Exploiting Read Current Noise of TiOx Resistive Memory by Controlling Forming Conditions for Probabilistic Neural Network Hardware

IEEE Electron Device Letters

2022/7/19

Enhanced switching characteristics of an ovonic threshold switching device with an ultra-thin MgO interfacial layer

IEEE Electron Device Letters

2021/12/23

Improved On-chip Training Efficiency at Elevated Temperature and Excellent Inference Accuracy with Retention (> 108 s) of ECRAM Synapse …

2021/12/11

Hardware Neural Network using Hybrid Synapses via Transfer Learning: WOx Nano-Resistors and TiOx RRAM Synapse for Energy-Efficient Edge-AI Sensor

2021/12/11

Ionic Sieving Through One‐Atom‐Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing

Small

2021/11

Impact of electrolyte density on synaptic characteristics of oxygen-based ionic synaptic transistor

Applied Physics Letters

2021/9/6

Neural network training acceleration with RRAM-based hybrid synapses

Frontiers in Neuroscience

2021/6/24

OTS-based analog-to-stochastic converter for fully-parallel weight update in cross-point array neural networks

2021/6/13

Excellent Synapse Characteristics of 50 nm Vertical Transistor with WOx channel for High Density Neuromorphic system

2021/6/13

Improved synaptic functionalities of Li-based nano-ionic synaptic transistor with ultralow conductance enabled by Al2O3 barrier layer

Nanotechnology

2021/4/12

See List of Professors in Wooseok Choi University(Pohang University of Science and Technology)

Co-Authors

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