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Institution

University of Electronic Science and Technology of China

EducationChengdu, China
About: University of Electronic Science and Technology of China is a education organization based out in Chengdu, China. It is known for research contribution in the topics: Antenna (radio) & Dielectric. The organization has 50594 authors who have published 58502 publications receiving 711188 citations. The organization is also known as: UESTC.


Papers
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Journal ArticleDOI
TL;DR: An ultrathin, smooth, and low-loss Ag film without a wetting layer is achieved by co-depositing a small amount of Al into Ag, which can be as thin as 6 nm, with a roughness below 1 nm and excellent mechanical flexibility.
Abstract: An ultrathin, smooth, and low-loss Ag film without a wetting layer is achieved by co-depositing a small amount of Al into Ag. The film can be as thin as 6 nm, with a roughness below 1 nm and excellent mechanical flexibility. Organic photovoltaics that use these thin films as transparent electrode show superior efficiency to their indium tin oxide (ITO) counterparts because of improved photon management.

214 citations

Journal ArticleDOI
TL;DR: In this paper, a novel electrochemical method as a conductive voltammetric sensor for determination of N-hydroxysuccinimide was developed, which was achieved by carbon paste electrode (CPE) amplified with tri-component nanohybrid composite (Platinum nanoparticle/Polyoxometalate/Two-dimensional hexagonal boron nitride nanosheets) (PtNPs/POM/2D-hBN) and 1-hexyl-3-methylimidazolium chloride (HMICl

214 citations

Journal ArticleDOI
TL;DR: According to a newly proposed measure about the degree of personalization, it is demonstrated that a degree-dependent initial configuration can outperform the uniform case for both accuracy and personalization strength.
Abstract: In this paper, based on a weighted object network, we propose a recommendation algorithm, which is sensitive to the configuration of initial resource distribution. Even under the simplest case with binary resource, the current algorithm has remarkably higher accuracy than the widely applied global ranking method and collaborative filtering. Furthermore, we introduce a free parameter $\beta$ to regulate the initial configuration of resource. The numerical results indicate that decreasing the initial resource located on popular objects can further improve the algorithmic accuracy. More significantly, we argue that a better algorithm should simultaneously have higher accuracy and be more personal. According to a newly proposed measure about the degree of personalization, we demonstrate that a degree-dependent initial configuration can outperform the uniform case for both accuracy and personalization strength.

214 citations

Journal ArticleDOI
TL;DR: In this paper, the authors summarize the recent advances in the development of electrocatalysts for the N2 reduction reaction (NRR). Strategies to boost the NRR performances are also discussed.
Abstract: Electrochemical N2 reduction has emerged as an environmentally benign alternative to the Haber–Bosch process for sustainable NH3 synthesis under ambient reaction conditions, and considerable recent attention has focused on electrocatalytic NH3 synthesis from N2 and H2O in aqueous media. In this Minireview, we summarize the recent advances in the development of electrocatalysts for the N2 reduction reaction (NRR). Strategies to boost the NRR performances are also discussed. Perspectives for further research directions are provided finally.

214 citations

Journal ArticleDOI
TL;DR: The findings indicate that the DMN is widely affected even if a single network node is impaired, and suggests that the widespread functional impairments in mTLE may attribute to an aberrant DMN.

214 citations


Authors

Showing all 51090 results

NameH-indexPapersCitations
Gang Chen1673372149819
Frede Blaabjerg1472161112017
Kuo-Chen Chou14348757711
Yi Yang143245692268
Guanrong Chen141165292218
Shuit-Tong Lee138112177112
Lei Zhang135224099365
Rajkumar Buyya133106695164
Lei Zhang130231286950
Bin Wang126222674364
Haiyan Wang119167486091
Bo Wang119290584863
Yi Zhang11643673227
Qiang Yang112111771540
Chun-Sing Lee10997747957
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023159
2022980
20217,384
20207,220
20196,976