P
Pengwan Chen
Researcher at Beijing Institute of Technology
Publications - 264
Citations - 4519
Pengwan Chen is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Digital image correlation & Microstructure. The author has an hindex of 27, co-authored 205 publications receiving 2701 citations. Previous affiliations of Pengwan Chen include Chinese Academy of Sciences.
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Strain engineering in perovskite solar cells and its impacts on carrier dynamics.
Cheng Zhu,Xiuxiu Niu,Yuhao Fu,Nengxu Li,Chen Hu,Yihua Chen,Xin He,Guangren Na,Pengfei Liu,Huachao Zai,Yang Ge,Yue Lu,Xiaoxing Ke,Yang Bai,Shihe Yang,Shihe Yang,Pengwan Chen,Yujing Li,Manling Sui,Lijun Zhang,Huanping Zhou,Qi Chen +21 more
TL;DR: The impact of the gradient in-plane strain on the carrier dynamics of the strained perovskite films and optimize the device efficiency is studied to enhance PCEs up to 20.7% (certified) in devices via rational strain engineering.
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Interfacial Residual Stress Relaxation in Perovskite Solar Cells with Improved Stability.
Hao Wang,Cheng Zhu,Lang Liu,Sai Ma,Pengfei Liu,Jiafeng Wu,Congbo Shi,Qin Du,Yanmin Hao,Sisi Xiang,Haining Chen,Pengwan Chen,Yang Bai,Huanping Zhou,Yujing Li,Qi Chen +15 more
TL;DR: A "bone-joint" configuration is constructed within the interface between the absorber and the carrier transport layer, which improves device performance substantially and exhibits an efficiency of 21.48% with good humidity stability and improved resistance against thermal cycling.
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Edge-to-Edge Assembled Graphene Oxide Aerogels with Outstanding Mechanical Performance and Superhigh Chemical Activity
TL;DR: In this paper, chemically crosslinked graphene oxide (GO) 3D aerogels are fabricated by assembling 2D GO sheets edge-to-edge into uniform, 3D hydrogel networks with subsequent supercritical fluid drying.
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Evaluation of the quality of a speckle pattern in the digital image correlation method by mean subset fluctuation
TL;DR: In this article, the quality of the speckle pattern used in digital image correlation is studied using a parameter called mean subset fluctuation, which is used to measure the mean bias error of the calculated displacement.
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Large-scale spinning assembly of neat, morphology-defined, graphene-based hollow fibers.
Yang Zhao,Changcheng Jiang,Chuangang Hu,Zelin Dong,Jiangli Xue,Yuning Meng,Ning Zheng,Pengwan Chen,Liangti Qu +8 more
TL;DR: This work has developed a facile and straightforward approach for continuous fabrication of neat, morphology-defined, graphene-based hollow fibers (HFs) via a coaxial two-capillary spinning strategy, paving the way toward the mass production of graphene- based HFs with desirable functionalities and morphologies for many of important applications in fluidics, catalysis, purification, separation, and sensing.