Mei Yu

Dr. Mei Yu

orcid

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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10 October 2017 in Small
Verified
Journal Article
Closed access
PDF file
MYMei Yu
Mei Yu
RLRuili Liu
Ruili Liu
JLJianhua Liu
Jianhua Liu
SLSongmei Li
Songmei Li
YMYuxiao Ma
Yuxiao Ma

31 March 2021 in ACS Energy Letters
Verified
Journal Article
Closed access
QZQisen Zhou
Qisen Zhou
JQJunming Qiu
Junming Qiu
YWYunfei Wang
Yunfei Wang
MYMei Yu
Mei Yu
JLJianhua Liu
Jianhua Liu
XZXiaoliang Zhang
Xiaoliang Zhang

9 July 2021 in Energy & Environmental Science
Verified
Journal Article
Closed access
PDF file
DJDonglin Jia
Donglin Jia
JCJingxuan Chen
Jingxuan Chen
XMXinyi Mei
Xinyi Mei
WFWentao Fan
Wentao Fan
SLShuo Luo
Shuo Luo
XZXiaoliang Zhang
Xiaoliang Zhang
Herein, a “surface matrix curing” (SMC) strategy is introduced to restore the surface matrix of CsPbI3 PQDs for improving the photovoltaic performance of PQD solar cells.

17 June 2023 in Corrosion Science
Verified
Journal Article
Closed access
ZYZhong Yang
Zhong Yang
MYMei Yu
Mei Yu
CHChao Han
Chao Han
ZZZhenjiang Zhao
Zhenjiang Zhao
XJXuejiao Jia
Xuejiao Jia
JLJianhua Liu
Jianhua Liu

29 April 2021 in ACS Energy Letters
Verified
Journal Article
Closed access
JCJingxuan Chen
Jingxuan Chen
SZSiyu Zheng
Siyu Zheng
DJDonglin Jia
Donglin Jia
WLWanlu Liu
Wanlu Liu
AAAneta Andruszkiewicz
Aneta Andruszkiewicz
XZXiaoliang Zhang
Xiaoliang Zhang

6 March 2017 in RSC Advances
Verified
Journal Article
Open access
PDF file
LXLiangliang Xiong
Liangliang Xiong
MYMei Yu
Mei Yu
JLJianhua Liu
Jianhua Liu
SLSongmei Li
Songmei Li
BXBing Xue
Bing Xue
A template-free graphene foam-supported Ni nanoparticle (GFN) composite was prepared by a hydrothermal method, followed by a calcination process. Phase, composition and morphology of the composites were characterized by XRD, Raman spectroscopy, FTIR, XPS, FESEM, and TEM. GFN exhibited a well-defined and interconnected three-dimensional (3D) network structure without template, and Ni nanoparticles were uniformly dispersed on the graphene nanosheets and attached via C–Ni covalent bonds. The microwave absorption (MA) properties of the samples were also investigated with a vector network analyzer. Based on the 3D structure of graphene foam, due to interfacial effects (graphene/Ni/wax) and the synergistic effect between graphene and Ni nanoparticles, GFN showed the most remarkable MA properties, compared with the graphene foam-supported NiO nanoparticles composite (GFNO), pure graphene foam (GF) and pure Ni nanoparticles. When the thickness of the GFN/wax sample was 3.4 mm and the content of GFN in the sample was only 1 wt%, the maximum reflection loss of GFN could reach −49 dB at 11.5 GHz. This high reflection loss was a result of the multiple reflections and attenuations of electromagnetic waves within the 3D structure of the graphene foam, the interfacial polarization and the better impedance matching characteristics of GFN. Hence, a template-free graphene foam-supported Ni nanoparticle composite with strong absorption and lightweight properties showed a promising future in microwave absorption applications.