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Institution

Southwest University

EducationChongqing, China
About: Southwest University is a education organization based out in Chongqing, China. It is known for research contribution in the topics: Population & Bombyx mori. The organization has 29772 authors who have published 27755 publications receiving 409441 citations. The organization is also known as: Southwest University in Chongqing & SWU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new application of graphene to modify the interface of FTO/TiO2 to suppress charge recombination was explored, which significantly improved the final power conversion efficiency (PCE).
Abstract: The microstructures of photo- and counter-electrodes play critical roles in the performance of dye-sensitized solar cells (DSSCs). In particular, various interfaces, such as fluorinated-tin oxide (FTO)/TiO2, TiO2/TiO2, and TiO2/electrolyte, in DSSCs significantly affect the final power conversion efficiency (PCE). However, research has generally focused more on the design of various nanostructured semiconducting materials with emphasis on optimizing chemical or/and physical properties, and less on these interface functionalizations for performance improvement. This work explores a new application of graphene to modify the interface of FTO/TiO2 to suppress charge recombination. In combination with interfaces functionalization of TiO2/TiO2 for low charge-transport resistance and high charge-transfer rate, the final PCE of DSSC is remarkably improved from 5.80% to 8.13%, achieving the highest efficiency in comparison to reported graphene/TiO2-based DSSCs. The method of using graphene to functionalize the surface of FTO substrate provides a better alternative method to the conventional pre-treatment through hydrolyzing TiCl4 and an approach to reduce the adverse effect of microstructural defect of conducting glass substrate for electronic devices.

132 citations

Journal ArticleDOI
TL;DR: In this article, a high performance dielectric capacitors for pulsed power applications, dense and homogenous Bi(Mg2/3Nb1/3)O3modifed BaTiO3-based Pb-free relaxor ferroelectric ceramics were obtained through a isostatic pressing technique at room temperature.

132 citations

Journal ArticleDOI
TL;DR: Five machine learning algorithms are employed for ET upscaling including artificial neural network, Cubist, deep belief network, random forest, and support vector machine to upscale ET from eddy covariance flux tower sites to the regional scale with machinelearning algorithms.

132 citations

Journal ArticleDOI
Cuiyun Yang1, Kai Shi1, Baoting Dou1, Yun Xiang1, Yaqin Chai1, Ruo Yuan1 
TL;DR: The developed method for electrochemical detection of microRNA shows high selectivity toward the target miRNA-199a, Featured with high sensitivity and label-free capability, the proposed sensing scheme can offer new opportunities for achieving sensitive, selective, and simple detection of different types of micro RNA targets.
Abstract: On the basis of the use of silver nanoclusters (AgNCs) in situ synthesized by cytosine (C)-rich loop DNA templates as signal amplification labels, the development of a label-free and highly sensitive method for electrochemical detection of microRNA (miRNA-199a) is described. The target miRNA-199a hybridizes with the partial dsDNA probes to initiate the target-assisted polymerization nicking reaction (TAPNR) amplification to produce massive intermediate sequences, which can be captured on the sensing electrode by the self-assembled DNA secondary probes. These surface-captured intermediate sequences further trigger the hybridization chain reaction (HCR) amplification to form dsDNA polymers with numerous C-rich loop DNA templates on the electrode surface. DNA-templated synthesis of AgNCs can be realized by subsequent incubation of the dsDNA polymer-modified electrode with AgNO3 and sodium borohydride. With this integrated TAPNR and HCR dual amplification strategy, the amount of in situ synthesized AgNCs is d...

132 citations

Journal ArticleDOI
TL;DR: Simulation results show the effectiveness and performance of the proposed continuous-time algorithms and show that the convergence rate of second-order algorithm is faster than that of first-order distributed algorithm.
Abstract: This paper proposes two second-order continuous-time algorithms to solve the economic power dispatch problem in smart grids. The collective aim is to minimize a sum of generation cost function subject to the power demand and individual generator constraints. First, in the framework of nonsmooth analysis and algebraic graph theory, one distributed second-order algorithm is developed and guaranteed to find an optimal solution. As a result, the power demand constraints can be kept all the time under appropriate initial condition. The second algorithm is under a centralized framework, and the optimal solution is robust in the sense that different initial power conditions do not change the convergence of the optimal solution. Finally, simulation results based on five-unit system, IEEE 30-bus system, and IEEE 300-bus system show the effectiveness and performance of the proposed continuous-time algorithms. The examples also show that the convergence rate of second-order algorithm is faster than that of first-order distributed algorithm.

131 citations


Authors

Showing all 29978 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Hongjie Dai197570182579
Jing Wang1844046202769
Chao Zhang127311984711
Jianjun Liu112104071032
Miao Liu11199359811
Jun Yang107209055257
Eric Westhof9847234825
En-Tang Kang9776338498
Chang Ming Li9789642888
Wei Zhou93164039772
Li Zhang9291835648
Heinz Rennenberg8752726359
Tao Chen8682027714
Xun Wang8460632187
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022461
20213,537
20203,257
20192,923
20182,479