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Institution

Nankai University

EducationTianjin, China
About: Nankai University is a education organization based out in Tianjin, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 42964 authors who have published 51866 publications receiving 1127896 citations. The organization is also known as: Nánkāi Dàxué.


Papers
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01 Jan 2008
TL;DR: In summary, intravenous delivery of genetically modified MSCs expressing CXCR4 may be a useful, non-invasive, and safe therapeutic strategy for post-infarction myocardial repair.

397 citations

Journal ArticleDOI
Nannan Zhang1, Shuo Huang1, Zishun Yuan1, Jiacai Zhu1, Zifang Zhao1, Zhiqiang Niu1 
TL;DR: In-situ spontaneously reducing/assembling strategy to assemble a thin and uniform MXene layer on the surface of Zn anode exhibits obviously low voltage hysteresis and excellent cycling stability with dendrite-free behaviors, ensuring the high capacity retention and low polarization potential in zinc-ion batteries.
Abstract: Metallic zinc is a promising anode candidate of aqueous zinc-ion batteries owing to its high theoretical capacity and low redox potential. However, Zn anodes usually suffer from dendrite and side reactions, which will degrade their cycle stability and reversibility. Herein, we developed an in situ spontaneously reducing/assembling strategy to assemble a ultrathin and uniform MXene layer on the surface of Zn anodes. The MXene layer endows the Zn anode with a lower Zn nucleation energy barrier and a more uniformly distributed electric field through the favorable charge redistribution effect in comparison with pure Zn. Therefore, MXene-integrated Zn anode exhibits obviously low voltage hysteresis and excellent cycling stability with dendrite-free behaviors, ensuring the high capacity retention and low polarization potential in zinc-ion batteries.

397 citations

Journal ArticleDOI
Tian Pau Chang1
TL;DR: In this article, six kinds of numerical methods commonly used for estimating Weibull parameters are reviewed; i.e., the moment, empirical, graphical, maximum likelihood, modified maximum likelihood and energy pattern factor method.

395 citations

Journal ArticleDOI
TL;DR: Graphene-based materials with 3D open frameworks show higher effective specific surface area, better control of channels, and higher conductivity, which make them better candidates for LIHS applications.
Abstract: Lithium-ion hybrid supercapacitors (LIHSs), also called Li-ion capacitors, have attracted much attention due to the combination of the rapid charge-discharge and long cycle life of supercapacitors and the high energy-storage capacity of lithium-ion batteries. Thus, LIHSs are expected to become the ultimate power source for hybrid and all-electric vehicles in the near future. As an electrode material, graphene has many advantages, including high surface area and porous structure, high electric conductivity, and high chemical and thermal stability, etc. Compared with other electrode materials, such as activated carbon, graphite, and metal oxides, graphene-based materials with 3D open frameworks show higher effective specific surface area, better control of channels, and higher conductivity, which make them better candidates for LIHS applications. Here, the latest advances in electrode materials for LIHSs are briefly summarized, with an emphasis on graphene-based electrode materials (including 3D graphene networks) for LIHS applications. An outlook is also presented to highlight some future directions.

394 citations

Journal ArticleDOI
Heng Dong1, Hongbing Yu1, Xin Wang1, Qixing Zhou1, Junli Feng1 
TL;DR: This study demonstrated that inexpensive, highly reproducible, high performance and scalable air-cathode can be produced by rolling method without using noble metal and expensive binder.

394 citations


Authors

Showing all 43397 results

NameH-indexPapersCitations
Yi Chen2174342293080
Peidong Yang183562144351
Jie Zhang1784857221720
Yang Yang1712644153049
Qiang Zhang1611137100950
Bin Liu138218187085
Jun Chen136185677368
Hui Li1352982105903
Jie Liu131153168891
Han Zhang13097058863
Jian Zhou128300791402
Chao Zhang127311984711
Wei Chen122194689460
Xuan Zhang119153065398
Yang Li117131963111
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023186
2022927
20215,274
20204,645
20194,261
20183,520