Jinglei Yang

Dr. Jinglei Yang


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 May 2009 in Nature
Verified
Journal Article
Closed access
PDF file
DDDouglas A. Davis
Douglas A. Davis
AHAndrew Hamilton
Andrew Hamilton
JYJinglei Yang
Jinglei Yang
LCLee D. Cremar
Lee D. Cremar
DGDara Van Gough
Dara Van Gough
NSNancy R. Sottos
Nancy R. Sottos

25 November 2008 in Macromolecules
Verified
Journal Article
Closed access
JYJinglei Yang
Jinglei Yang
MKMichael W. Keller
Michael W. Keller
JMJeffery S. Moore
Jeffery S. Moore
SWScott R. White
Scott R. White
NSNancy R. Sottos
Nancy R. Sottos


30 June 2011 in Journal of Materials Chemistry
Verified
Journal Article
Closed access
PDF file
MHMingxing Huang
Mingxing Huang
JYJinglei Yang
Jinglei Yang
Polyurethane (PU) microcapsules containing hexamethylene diisocyanate (HDI) as core materials are facilely manufactured via interfacial polymerization reaction of commercial methylene diphenyl diisocyanate (MDI) prepolymer and 1,4-butanediol in an oil-in-water emulsion. The resultant capsules have diameters of 5–350 μm and shell thickness of 1–15 μm, both linearly related to the agitation rate in the double logarithm coordinates. The typical core fraction of microcapsules and the yield of synthesis are around 60 wt% and 70 wt%, respectively, while varying with reaction conditions. The effects of parameters including reaction duration and temperature, surfactant concentration, agitation rate, and environmental factors on the formation of microcapsules were systematically investigated and optimized. Quality assessments of each batch of microcapsules were performed using thermogravimetric analysis and scanning electron microscopy. Anticorrosion coatings mixed with synthesized microcapsules were prepared on a steel substrate. Preliminary results indicated significant corrosion retardancy happened in the self-healing coatings under an accelerated corrosion process, showing the great potential of this facile microencapsulation technique in development of catalyst-free, one-part self-healing coatings for corrosion control.

1 July 2014 in Composites Science and Technology
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Journal Article
Closed access
BYBin Yu
Bin Yu
ZJZhenyu Jiang
Zhenyu Jiang
XTXiu-Zhi Tang
Xiu-Zhi Tang
CYChee Yoon Yue
Chee Yoon Yue
JYJinglei Yang
Jinglei Yang

4 May 2021 in Nano-Micro Letters
Verified
Journal Article
Open access
PDF file
HZHeng Zhang
Heng Zhang
DLDan Liu
Dan Liu
JLJeng-Hun Lee
Jeng-Hun Lee
HCHaomin Chen
Haomin Chen
EKEunyoung Kim
Eunyoung Kim
JKJang-Kyo Kim
Jang-Kyo Kim
Flexible multidirectional strain sensors are crucial to accurately determining the complex strain states involved in emerging sensing applications. Although considerable efforts have been made to construct anisotropic structures for improved selective sensing capabilities, existing anisotropic sensors suffer from a trade-off between high sensitivity and high stretchability with acceptable linearity. Here, an ultrasensitive, highly selective multidirectional sensor is developed by rational design of functionally different anisotropic layers. The bilayer sensor consists of an aligned carbon nanotube (CNT) array assembled on top of a periodically wrinkled and cracked CNT–graphene oxide film. The transversely aligned CNT layer bridge the underlying longitudinal microcracks to effectively discourage their propagation even when highly stretched, leading to superior sensitivity with a gauge factor of 287.6 across a broad linear working range of up to 100% strain. The wrinkles generated through a pre-straining/releasing routine in the direction transverse to CNT alignment is responsible for exceptional selectivity of 6.3, to the benefit of accurate detection of loading directions by the multidirectional sensor. This work proposes a unique approach to leveraging the inherent merits of two cross-influential anisotropic structures to resolve the trade-off among sensitivity, selectivity, and stretchability, demonstrating promising applications in full-range, multi-axis human motion detection for wearable electronics and smart robotics.