Jie Yang

Prof. Jie Yang

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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12 May 2021 in Advanced Energy Materials
Verified
Journal Article
Closed access
PDF file
ZPZhenghui Pan
Zhenghui Pan
XLXimeng Liu
Ximeng Liu
JYJie Yang
Jie Yang
XLXin Li
Xin Li
ZLZhaolin Liu
Zhaolin Liu
John WangJohn Wang
John Wang

9 September 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
HYHaitao Yang
Haitao Yang
JLJiali Li
Jiali Li
XXXiao Xiao
Xiao Xiao
JWJiahao Wang
Jiahao Wang
YLYufei Li
Yufei Li
PCPo-Yen Chen
Po-Yen Chen
Wearable strain sensors that detect joint/muscle strain changes become prevalent at human–machine interfaces for full-body motion monitoring. However, most wearable devices cannot offer customizable opportunities to match the sensor characteristics with specific deformation ranges of joints/muscles, resulting in suboptimal performance. Adequate wearable strain sensor design is highly required to achieve user-designated working windows without sacrificing high sensitivity, accompanied with real-time data processing. Herein, wearable Ti3C2Tx MXene sensor modules are fabricated with in-sensor machine learning (ML) models, either functioning via wireless streaming or edge computing, for full-body motion classifications and avatar reconstruction. Through topographic design on piezoresistive nanolayers, the wearable strain sensor modules exhibited ultrahigh sensitivities within the working windows that meet all joint deformation ranges. By integrating the wearable sensors with a ML chip, an edge sensor module is fabricated, enabling in-sensor reconstruction of high-precision avatar animations that mimic continuous full-body motions with an average avatar determination error of 3.5 cm, without additional computing devices.

9 August 2021 in ACS Nano
Verified
Journal Article
Closed access
ZPZhenghui Pan
Zhenghui Pan
LKLixing Kang
Lixing Kang
TLTan Li
Tan Li
MWMoaz Waqar
Moaz Waqar
JYJie Yang
Jie Yang
John WangJohn Wang
John Wang

20 August 2018 in Small
Verified
Journal Article
Closed access
PDF file
JYJie Yang
Jie Yang
WYWenzhi Yu
Wenzhi Yu
ZPZhenghui Pan
Zhenghui Pan
QYQiang Yu
Qiang Yu
QYQing Yin
Qing Yin
KZKai Zhang
Kai Zhang

1 April 2021 in Energy Storage Materials
Verified
Journal Article
Closed access
JYJie Yang
Jie Yang
ZPZhenghui Pan
Zhenghui Pan
JZJun Zhong
Jun Zhong
SLShuo Li
Shuo Li
JWJohn Wang
John Wang
PCPo-Yen Chen
Po-Yen Chen

18 November 2021 in Advanced Science
Verified
Journal Article
Open access
PDF file
ZPZhenghui Pan
Zhenghui Pan
JYJie Yang
Jie Yang
JKJunhua Kong
Junhua Kong
Xian Jun LohXian Jun Loh
Xian Jun Loh
John WangJohn Wang
John Wang
ZLZhaolin Liu
Zhaolin Liu
With the ever‐rapid miniaturization of portable, wearable electronics and Internet of Things, the volumetric performance is becoming a much more pertinent figure‐of‐merit than the conventionally used gravimetric parameters to evaluate the charge‐storage capacity of electrochemical capacitors (ECs). Thus, it is essential to design the ECs that can store as much energy as possible within a limited space. As the most critical component in ECs, “porous and yet dense” electrodes with large ion‐accessible surface area and optimal packing density are crucial to realize desired high volumetric performance, which have demonstrated to be rather challenging. In this review, the principles and fundamentals of ECs are first observed, focusing on the key understandings of the different charge storage mechanisms in porous electrodes. The recent and latest advances in high‐volumetric‐performance ECs, developed by the rational design and fabrication of “porous and yet dense” electrodes are then examined. Particular emphasis of discussions then concentrates on the key factors impacting the volumetric performance of porous carbon‐based electrodes. Finally, the currently faced challenges, further perspectives and opportunities on those purposely engineered porous electrodes for high‐volumetric‐performance EC are presented, aiming at providing a set of guidelines for further design of the next‐generation energy storage devices.