Sung Kyu Park

Dr. Sung Kyu Park

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 December 2017 in Small
Verified
Journal Article
Closed access
PDF file
JHJae Sang Heo
Jae Sang Heo
JEJimi Eom
Jimi Eom
YKYong-Hoon Kim
Yong-Hoon Kim
SPSung Kyu Park
Sung Kyu Park

17 May 2017 in Advanced Materials
Verified
Journal Article
Closed access
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MLMinkyung Lee
Minkyung Lee
WLWoobin Lee
Woobin Lee
SCSeungbeom Choi
Seungbeom Choi
JJJeong‐Wan Jo
Jeong‐Wan Jo
JKJaekyun Kim
Jaekyun Kim
YKYong-Hoon Kim
Yong-Hoon Kim

14 November 2019 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
SKSung Min Kwon
Sung Min Kwon
SCSung Woon Cho
Sung Woon Cho
MKMinho Kim
Minho Kim
JHJae Sang Heo
Jae Sang Heo
YKYong-Hoon Kim
Yong-Hoon Kim
SPSung Kyu Park
Sung Kyu Park

5 February 2021 in Advanced Intelligent Systems
Verified
Journal Article
Open access
PDF file
SCSung Woon Cho
Sung Woon Cho
SKSung Min Kwon
Sung Min Kwon
YKYong-Hoon Kim
Yong-Hoon Kim
SPSung Kyu Park
Sung Kyu Park
Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics. Among the various neuromorphic devices, optoelectronic synapses are promising neuromorphic devices that use optical means to mimic synaptic plasticity and related functions. Compared with classical neuromorphic chip based on electronic synapses using electrical means, photonic neuromorphic chip using light as input spike signal can be attractive alternative approach for next‐generation artificial intelligent system capable of high density, low power consumption, and low crosstalk. Thus, various optoelectronic synaptic electronics have been developed to overcome the drawback of conventional artificial intelligent system based on electrical synapses. Herein, the recent progresses in transistor‐based optoelectronic synapses for artificial intelligent system and review their device architecture, neuromorphic operational mechanisms, manufacturing methodologies, and advanced applications for artificial intelligent computing and visual perception systems are focused. Finally, the future challenges and research direction in the optoelectronic synaptic research are discussed.

9 March 2017 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JEJimi Eom
Jimi Eom
RJRawat Jaisutti
Rawat Jaisutti
HLHyungseok Lee
Hyungseok Lee
WLWoobin Lee
Woobin Lee
JHJae-Sang Heo
Jae-Sang Heo
YKYong-Hoon Kim
Yong-Hoon Kim

30 March 2015 in Advanced Functional Materials
Verified
Journal Article
Closed access
PDF file
Sungjun ParkSungjun Park
Sungjun Park
KKKwang‐Ho Kim
Kwang‐Ho Kim
JJJeong‐Wan Jo
Jeong‐Wan Jo
SSSujin Sung
Sujin Sung
KKKyung‐Tae Kim
Kyung‐Tae Kim
SPSung Kyu Park
Sung Kyu Park