Myonghoon Kwak

880 citations

26 papers · 771 indexed · h-index 15

Electrical and Electronic Engineering top 5%
Cellular and Molecular Neuroscience top 10%
Polymers and Plastics top 10%
Artificial Intelligence top 10%
Materials Chemistry

Co-authors: Hyunsang Hwang Revannath Dnyandeo Nikam Jongwon Lee Writam Banerjee Wooseok Choi Seokjae Lim Jeonghwan Song Seyoung Kim
Topics: Advanced Memory and Neural Computing (25 papers)Transition Metal Oxide Nanomaterials (12 papers)Ferroelectric and Negative Capacitance Devices (9 papers)
Cited by: Polymers and Plastics Cellular and Molecular Neuroscience Electrical and Electronic Engineering
Journals: Applied Physics Letters Scientific Reports ACS Applied Materials & Interfaces
Partner nations: South Korea United States

In The Last Decade

Myonghoon Kwak

25 papers receiving 763 citations

Peers

Countries citing papers authored by Myonghoon Kwak

Since Specialization

Citations

This map shows the geographic impact of Myonghoon Kwak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Myonghoon Kwak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myonghoon Kwak more than expected).

Fields of papers citing papers by Myonghoon Kwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myonghoon Kwak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Myonghoon Kwak. The network helps show where Myonghoon Kwak may publish in the future.

Co-authorship network of co-authors of Myonghoon Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Myonghoon Kwak. A scholar is included among the top collaborators of Myonghoon Kwak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Myonghoon Kwak. Myonghoon Kwak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Linear Frequency Modulation of NbO2-Based Nanoscale Oscillator With Li-Based Electrochemical Random Access Memory for Compact Coupled Oscillatory Neural Network 2022 ·Frontiers in Neuroscience ·Donguk Lee,Myonghoon Kwak,Jongwon Lee,Jiyong Woo,Hyunsang Hwang	2
2	Strategies to Improve the Synaptic Characteristics of Oxygen-Based Electrochemical Random-Access Memory Based on Material Parameters Optimization 2022 ·ACS Applied Materials & Interfaces ·Jongwon Lee,Revannath Dnyandeo Nikam,Myonghoon Kwak,Hyunsang Hwang	33
3	Effect of Stochastic Resonance on Classification Accuracy of Neural Networks Utilizing Inherent Stochasticity in Threshold Voltage of Ovonic Threshold Switching Device 2022 ·IEEE Journal of the Electron Devices Society ·Wooseok Choi,Myonghoon Kwak,Donguk Lee,Sangmin Lee,Chuljun Lee,Seyoung Kim,Hyunsang Hwang	0
4	OTS-based Analog-to-Stochastic Converter for Fully-Parallel Weight Update in Cross-point Array Neural Networks 2021 ·Open Access System for Information Sharing (Pohang University of Science and Technology) ·Myonghoon Kwak,Sangmin Lee,Wooseok Choi,Chuljun Lee,Seyoung Kim,Hyunsang Hwang	1
5	Excellent Synapse Characteristics of 50 nm Vertical Transistor with WO x channel for High Density Neuromorphic system 2021 ·Symposium on VLSI Technology ·Chuljun Lee,Wooseok Choi,Myonghoon Kwak,Seyoung Kim,Hyunsang Hwang	3
6	Neural Network Training Acceleration With RRAM-Based Hybrid Synapses 2021 ·Frontiers in Neuroscience ·Wooseok Choi,Myonghoon Kwak,Seyoung Kim,Hyunsang Hwang	6
7	Improved On-chip Training Efficiency at Elevated Temperature and Excellent Inference Accuracy with Retention (> 10⁸ s) of $\text{Pr}_{0.7}\text{Ca}_{0.3}\text{MnO}_{3-\mathrm{x}}$ ECRAM Synapse Device for Hardware Neural Network 2021 ·2021 IEEE International Electron Devices Meeting (IEDM) ·Chuljun Lee,Myonghoon Kwak,Wooseok Choi,Seyoung Kim,Hyunsang Hwang	11
8	Facile Approach for Improving Synaptic Modulation of Analog Resistive Characteristics by Embedding Oxygen Vacancies‐Rich Sub‐TaO_x in Pt/Ta₂O₅/Ti Device Stacks 2021 ·physica status solidi (a) ·(unknown),Donguk Lee,Myonghoon Kwak,Ah Ra Kim,Hyunsang Hwang,(unknown),Jung‐Dae Kwon,Yonghun Kim	1
9	Understanding of forming and switching mechanism using trap distribution model for ovonic threshold switch device 2021 ·Applied Physics Letters ·Sangmin Lee,(unknown),Myonghoon Kwak,O. Mosendz,Hyunsang Hwang	24
10	Excellent Pattern Recognition Accuracy of Neural Networks Using Hybrid Synapses and Complementary Training 2021 ·IEEE Electron Device Letters ·Myonghoon Kwak,Wooseok Choi,(unknown),Chuljun Lee,Revannath Dnyandeo Nikam,Seyoung Kim,Hyunsang Hwang	12
11	All‐Solid‐State Oxygen Ion Electrochemical Random‐Access Memory for Neuromorphic Computing 2021 ·Advanced Electronic Materials ·Revannath Dnyandeo Nikam,Myonghoon Kwak,Hyunsang Hwang	61
12	Excellent synaptic behavior of lithium-based nano-ionic transistor based on optimal WO _2.7 stoichiometry with high ion diffusivity 2020 ·Nanotechnology ·Jongwon Lee,Revannath Dnyandeo Nikam,Seokjae Lim,Myonghoon Kwak,Hyunsang Hwang	40
13	Pr_0.7Ca_0.3MnO₃-Based Three-Terminal Synapse for Neuromorphic Computing 2020 ·IEEE Electron Device Letters ·Chuljun Lee,(unknown),Wooseok Choi,Myonghoon Kwak,Revannath Dnyandeo Nikam,Seyoung Kim,Hyunsang Hwang	34
14	Improved Pattern Recognition Accuracy of Hardware Neural Network: Deactivating Short Failed Synapse Device by Adopting Ovonic Threshold Switching (OTS)-Based Fuse Device 2020 ·IEEE Electron Device Letters ·Myonghoon Kwak,Sangmin Lee,Seyoung Kim,Hyunsang Hwang	6
15	Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems 2019 ·Nanotechnology ·Jongwon Lee,Seokjae Lim,Myonghoon Kwak,Jeonghwan Song,Hyunsang Hwang	36
16	Near ideal synaptic functionalities in Li ion synaptic transistor using Li3POxSex electrolyte with high ionic conductivity 2019 ·Scientific Reports ·Revannath Dnyandeo Nikam,Myonghoon Kwak,Jongwon Lee,(unknown),Writam Banerjee,Hyunsang Hwang	113
17	Controlled Ionic Tunneling in Lithium Nanoionic Synaptic Transistor through Atomically Thin Graphene Layer for Neuromorphic Computing 2019 ·Advanced Electronic Materials ·Revannath Dnyandeo Nikam,Myonghoon Kwak,Jongwon Lee,(unknown),Hyunsang Hwang	75
18	Various Threshold Switching Devices for Integrate and Fire Neuron Applications 2019 ·Advanced Electronic Materials ·Donguk Lee,Myonghoon Kwak,Kibong Moon,Wooseok Choi,Jae-Hyuk Park,Jongmyung Yoo,Jeonghwan Song,Seokjae Lim,Changhyuck Sung,Writam Banerjee,Hyunsang Hwang	134
19	Hardware implementation of neural network using pre-programmed resistive device for pattern recognition 2018 ·Solid-State Electronics ·Wooseok Choi,Kibong Moon,Myonghoon Kwak,Changhyuck Sung,Jongwon Lee,Jeonghwan Song,Jaesung Park,Solomon Amsalu Chekol,Hyunsang Hwang	11
20	Implementation of Convolutional Kernel Function Using 3-D TiO_{<italic>x</italic>} Resistive Switching Devices for Image Processing 2018 ·IEEE Transactions on Electron Devices ·Myonghoon Kwak,Jaesung Park,Jiyong Woo,Hyunsang Hwang	15

About Myonghoon Kwak

Myonghoon Kwak is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 771 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (25 papers), Transition Metal Oxide Nanomaterials (12 papers) and Ferroelectric and Negative Capacitance Devices (9 papers). The work is most often cited by research in Polymers and Plastics (200 citations), Cellular and Molecular Neuroscience (253 citations) and Electrical and Electronic Engineering (727 citations). Myonghoon Kwak has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hyunsang Hwang, Revannath Dnyandeo Nikam, Jongwon Lee, Writam Banerjee, Wooseok Choi, Seokjae Lim, Hyunsang Hwang, Jeonghwan Song, Seyoung Kim and Kibong Moon. Their work appears in journals such as Applied Physics Letters, Scientific Reports and ACS Applied Materials & Interfaces.

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