Zhi-Bin Zhang

Dr. Zhi-Bin Zhang

Department of Engineering Sciences, Division of Solid-State Electronics, Uppsala University, Box 534, SE-751 21 Uppsala, Sweden

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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22 October 2019 in 2D Materials
Verified
Journal Article
Open access
PDF file
Yifeng FuYifeng Fu
Yifeng Fu
JHJosef Hansson
Josef Hansson
YLYa Liu
Ya Liu
SCShujing Chen
Shujing Chen
AZAbdelhafid Zehri
Abdelhafid Zehri
JLJohan Liu
Johan Liu
Almost 15 years have gone ever since the discovery of graphene as a single atom layer. Numerous papers have been published to demonstrate its high electron mobility, excellent thermal and mechanical as well as optical properties. We have recently seen more and more applications towards using graphene in commercial products. This paper is an attempt to review and summarize the current status of the research of the thermal properties of graphene and other 2D based materials including the manufacturing and characterization techniques and their applications, especially in electronics and power modules. It is obvious from the review that graphene has penetrated the market and gets more and more applications in commercial electronics thermal management context. In the paper, we also made a critical analysis of how mature the manufacturing processes are; what are the accuracies and challenges with the various characterization techniques and what are the remaining questions and issues left before we see further more applications in this exciting and fascinating field.

10 May 2024 in Science
Verified
Journal Article
Closed access
LCLibo Chen
Libo Chen
SKSanja Karilanova
Sanja Karilanova
SCSoumi Chaki
Soumi Chaki
CWChenyu Wen
Chenyu Wen
LWLisha Wang
Lisha Wang
ZZZhi-Bin Zhang
Zhi-Bin Zhang
Rapid processing of tactile information is essential to human haptic exploration and dexterous object manipulation. Conventional electronic skins generate frames of tactile signals upon interaction with objects. Unfortunately, they are generally ill-suited for efficient coding of temporal information and rapid feature extraction. In this work, we report a neuromorphic tactile system that uses spike timing, especially the first-spike timing, to code dynamic tactile information about touch and grasp. This strategy enables the system to seamlessly code highly dynamic information with millisecond temporal resolution on par with the biological nervous system, yielding dynamic extraction of tactile features. Upon interaction with objects, the system rapidly classifies them in the initial phase of touch and grasp, thus paving the way to fast tactile feedback desired for neuro-robotics and neuro-prosthetics.

3 August 2018 in The Journal of Physical Chemistry C
Verified
Journal Article
Closed access
JGJunji Guo
Junji Guo
MWMei Wang
Mei Wang
XDXungang Diao
Xungang Diao
ZZZhi-Bin Zhang
Zhi-Bin Zhang
GDGuobo Dong
Guobo Dong
JLJiang Liu
Jiang Liu

28 April 2017 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
SJSeunghee Jeong
Seunghee Jeong
FCFrancisco Javier Cruz
Francisco Javier Cruz
SCSi Chen
Si Chen
LGLaurent Gravier
Laurent Gravier
JLJohan Liu
Johan Liu
ZZZhi-Bin Zhang
Zhi-Bin Zhang

1 March 2021 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
JGJunji Guo
Junji Guo
XGXing Guo
Xing Guo
HSHuibin Sun
Huibin Sun
YXYizhu Xie
Yizhu Xie
XDXungang Diao
Xungang Diao
ZZZhi-Bin Zhang
Zhi-Bin Zhang

22 September 2023 in Journal of Colloid and Interface Science
Verified
Journal Article
Closed access
ZZZhi-Bin Zhang
Zhi-Bin Zhang
XWXi Wang
Xi Wang
Hongyan LiHongyan Li
Hongyan Li
GLGengchen Liu
Gengchen Liu
KZKaiying Zhao
Kaiying Zhao
Songnan ZhangSongnan Zhang
Songnan Zhang