Sunghwan Lee

Dr. Sunghwan Lee


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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15 October 2021 in Science Advances
Verified
Journal Article
Open access
MCMichael Clevenger
Michael Clevenger
HKHyeonghun Kim
Hyeonghun Kim
HSHan Wook Song
Han Wook Song
KNKwangsoo No
Kwangsoo No
SLSunghwan Lee
Sunghwan Lee
Health-monitoring sensors directly fabricated on disposable wears using oxidative chemical vapor deposition.

31 August 2023 in Advanced Materials
Verified
Journal Article
Open access
JBJinwook Baek
Jinwook Baek
YSYujie Shan
Yujie Shan
MMMitesh Mylvaganan
Mitesh Mylvaganan
YZYuxuan Zhang
Yuxuan Zhang
XYXixian Yang
Xixian Yang
SLSunghwan Lee
Sunghwan Lee
A new manufacturing paradigm is showcased to exclude conventional mold‐dependent manufacturing of pressure sensors, which typically requires a series of complex and expensive patterning processes. This mold‐free manufacturing leverages high‐resolution 3D‐printed multiscale microstructures as the substrate and a gas‐phase conformal polymer coating technique to complete the mold‐free sensing platform. The array of dome and spike structures with a controlled spike density of a 3D‐printed substrate ensures a large contact surface with pressures applied and extended linearity in a wider pressure range. For uniform coating of sensing elements on the microstructured surface, oxidative chemical vapor deposition is employed to deposit a highly conformal and conductive sensing element, poly(3,4‐ethylenedioxythiophene) at low temperatures (<60 °C). The fabricated pressure sensor reacts sensitively to various ranges of pressures (up to 185 kPa−1) depending on the density of the multiscale features and shows an ultrafast response time (≈36 µs). The mechanism investigations through the finite element analysis identify the effect of the multiscale structure on the figure‐of‐merit sensing performance. These unique findings are expected to be of significant relevance to technology that requires higher sensing capability, scalability, and facile adjustment of a sensor geometry in a cost‐effective manufacturing manner.

1 August 2019 in Applied Surface Science
Verified
Journal Article
Closed access
GDGrant Drewelow
Grant Drewelow
ARAustin Reed
Austin Reed
CSChandon Stone
Chandon Stone
KRKwangdong Roh
Kwangdong Roh
ZJZhong-Tao Jiang
Zhong-Tao Jiang
SLSunghwan Lee
Sunghwan Lee

4 March 2022 in Energy Storage Materials
Verified
Journal Article
Closed access
YZYuxuan Zhang
Yuxuan Zhang
CKChung Soo Kim
Chung Soo Kim
HSHan Wook Song
Han Wook Song
SCSung-Jin Chang
Sung-Jin Chang
HKHyeonghun Kim
Hyeonghun Kim
SLSunghwan Lee
Sunghwan Lee

31 March 2023 in Materials Advances
Verified
Journal Article
Open access
PDF file
FQFei Qin
Fei Qin
YZYuxuan Zhang
Yuxuan Zhang
HSHan Wook Song
Han Wook Song
SLSunghwan Lee
Sunghwan Lee
A memristor is a promising synaptic device for neuromorphic computing. This review article encompasses various instrumental characterization methods which enhance a fundamental understanding of the switching and reliability mechanisms of memristors.

1 January 2020 in Applied Surface Science
Verified
Journal Article
Closed access
GDGrant Drewelow
Grant Drewelow
HSHan Wook Song
Han Wook Song
ZJZhong-Tao Jiang
Zhong-Tao Jiang
SLSunghwan Lee
Sunghwan Lee