Zhanhu Guo

Dr. Zhanhu Guo


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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9 February 2018 in ACS Catalysis
Verified
Journal Article
Closed access
TSTongming Su
Tongming Su
QSQian Shao
Qian Shao
Zuzeng QinZuzeng Qin
Zuzeng Qin
ZGZhanhu Guo
Zhanhu Guo
ZWZili Wu
Zili Wu

8 February 2019 in Polymer Reviews
Verified
Journal Article
Closed access
DJDawei Jiang
Dawei Jiang
VMVignesh Murugadoss
Vignesh Murugadoss
YWYing Wang
Ying Wang
JLJing Lin
Jing Lin
TDTao Ding
Tao Ding
ZGZhanhu Guo
Zhanhu Guo

12 October 2018 in Journal of Materials Chemistry C
Verified
Journal Article
Closed access
PDF file
Hu LiuHu Liu
Hu Liu
QLQianming Li
Qianming Li
SZShuaidi Zhang
Shuaidi Zhang
RYRui Yin
Rui Yin
Xianhu LiuXianhu Liu
Xianhu Liu
ZGZhanhu Guo
Zhanhu Guo
The rapid development of wearable smart devices has contributed to the enormous demands for smart flexible strain sensors. However, to date, the poor stretchability and sensitivity of conventional metals or inorganic semiconductor-based strain sensors have restricted their application in this field to some extent, and hence many efforts have been devoted to find suitable candidates to overcome these limitations. Recently, novel resistive-type electrically conductive polymer composites (ECPCs)-based strain sensors have attracted attention based on their merits of light weight, flexibility, stretchability, and easy processing, thus showing great potential applications in the fields of human movement detection, artificial muscles, human–machine interfaces, soft robotic skin, etc. For ECPCs-based strain sensors, the conductive filler type and the phase morphology design have important influences on the sensing property. Meanwhile, to achieve a successful application toward wearable devices, several imperative features, including a self-healing capability, superhydrophobicity, and good light transmission, need to be considered. The aim of the present review is to critically review the progress of ECPCs-based strain sensors and to foresee their future development.

17 October 2016 in Journal of Materials Chemistry C
Verified
Journal Article
Open access
PDF file
HLHu Liu
Hu Liu
MDMengyao Dong
Mengyao Dong
WHWenju Huang
Wenju Huang
JGJiachen Gao
Jiachen Gao
YZYuan Zhang
Yuan Zhang
ZGZhanhu Guo
Zhanhu Guo
Lightweight conductive porous graphene/thermoplastic polyurethane (TPU) foams with ultrahigh compressibility were successfully fabricated by using the thermal induced phase separation (TISP) technique. The density and porosity of the foams were calculated to be about 0.11 g cm−3 and 90% owing to the porous structure. Compared with pure TPU foams, the addition of graphene could effectively increase the thickness of the cell wall and hinder the formation of small holes, leading to a robust porous structure with excellent compression property. Meanwhile, the cell walls with small holes and a dendritic structure were observed due to the flexibility of graphene, endowing the foam with special positive piezoresistive behaviors and peculiar response patterns with a deflection point during the cyclic compression. This could effectively enhance the identifiability of external compression strain when used as piezoresistive sensors. In addition, larger compression sensitivity was achieved at a higher compression rate. Due to high porosity and good elasticity of TPU, the conductive foams demonstrated good compressibility and stable piezoresistive sensing signals at a strain of up to 90%. During the cyclic piezoresistive sensing test under different compression strains, the conductive foam exhibited good recoverability and reproducibility after the stabilization of cyclic loading. All these suggest that the fabricated conductive foam possesses great potential to be used as lightweight, flexible, highly sensitive, and stable piezoresistive sensors.

1 March 2019 in Journal of Colloid and Interface Science
Verified
Journal Article
Closed access
HQHoujuan Qi
Houjuan Qi
MTMin Teng
Min Teng
MLMiao Liu
Miao Liu
SLShouxin Liu
Shouxin Liu
JLJian Li
Jian Li
ZGZhanhu Guo
Zhanhu Guo

1 May 2021 in Carbon
Verified
Journal Article
Closed access
NWNannan Wu
Nannan Wu
QHQian Hu
Qian Hu
RWRenbo Wei
Renbo Wei
XMXianmin MAI
Xianmin MAI
Nithesh NaikNithesh Naik
Nithesh Naik
ZSZhengjun Shi
Zhengjun Shi