Steve Park

Steve Park


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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19 September 2019 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
JYJun Chang Yang
Jun Chang Yang
JMJaewan Mun
Jaewan Mun
SKSe Young Kwon
Se Young Kwon
SPSeongjun Park
Seongjun Park
ZBZhenan Bao
Zhenan Bao
SPSteve Park
Steve Park

6 May 2019 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JYJun Chang Yang
Jun Chang Yang
JKJin-Oh Kim
Jin-Oh Kim
JOJinwon Oh
Jinwon Oh
SKSe Young Kwon
Se Young Kwon
JSJoo Yong Sim
Joo Yong Sim
SPSteve Park
Steve Park

3 February 2021 in ACS Nano
Verified
Journal Article
Closed access
PLPei Li
Pei Li
GLGun-Hee Lee
Gun-Hee Lee
SKSu Yeong Kim
Su Yeong Kim
SKSe Young Kwon
Se Young Kwon
HKHyung-Ryong Kim
Hyung-Ryong Kim
SPSteve Park
Steve Park

8 January 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
KKKayoung Kim
Kayoung Kim
MKMin-Ji Kim
Min-Ji Kim
DKDa Won Kim
Da Won Kim
SKSu Yeong Kim
Su Yeong Kim
SPSteve Park
Steve Park
CPChan Beum Park
Chan Beum Park
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder, affecting one in ten people aged over 65 years. Despite the severity of the disease, early diagnosis of AD is still challenging due to the low accuracy or high cost of neuropsychological tests and neuroimaging. Here we report clinically accurate and ultrasensitive detection of multiple AD core biomarkers (t-tau, p-tau181, Aβ42, and Aβ40) in human plasma using densely aligned carbon nanotubes (CNTs). The closely packed and unidirectionally aligned CNT sensor array exhibits high precision, sensitivity, and accuracy, evidenced by a low coefficient of variation (93.0%). By measuring the levels of t-tau/Aβ42, p-tau181/Aβ42, and Aβ42/Aβ40 in clinical blood samples, the sensor array successfully discriminates the clinically diagnosed AD patients from healthy controls with an average sensitivity of 90.0%, a selectivity of 90.0%, and an average accuracy of 88.6%.

11 July 2018 in ACS Nano
Verified
Journal Article
Closed access
JOJinwon Oh
Jinwon Oh
JYJun Chang Yang
Jun Chang Yang
JKJin-Oh Kim
Jin-Oh Kim
HPHyunkyu Park
Hyunkyu Park
SKSe Young Kwon
Se Young Kwon
SPSteve Park
Steve Park

12 May 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
GLGun-Hee Lee
Gun-Hee Lee
YLYe Rim Lee
Ye Rim Lee
HKHanul Kim
Hanul Kim
DKDo A Kwon
Do A Kwon
HKHyeonji Kim
Hyeonji Kim
SPSteve Park
Steve Park
Liquid metal is being regarded as a promising material for soft electronics owing to its distinct combination of high electrical conductivity comparable to that of metals and exceptional deformability derived from its liquid state. However, the applicability of liquid metal is still limited due to the difficulty in simultaneously achieving its mechanical stability and initial conductivity. Furthermore, reliable and rapid patterning of stable liquid metal directly on various soft substrates at high-resolution remains a formidable challenge. In this work, meniscus-guided printing of ink containing polyelectrolyte-attached liquid metal microgranular-particle in an aqueous solvent to generate semi-solid-state liquid metal is presented. Liquid metal microgranular-particle printed in the evaporative regime is mechanically stable, initially conductive, and patternable down to 50 μm on various substrates. Demonstrations of the ultrastretchable (~500% strain) electrical circuit, customized e-skin, and zero-waste ECG sensor validate the simplicity, versatility, and reliability of this manufacturing strategy, enabling broad utility in the development of advanced soft electronics.