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Institution

Donghua University

EducationShanghai, China
About: Donghua University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Fiber & Nanofiber. The organization has 21155 authors who have published 21841 publications receiving 393091 citations. The organization is also known as: Dōnghuá Dàxué & China Textile University.
Topics: Fiber, Nanofiber, Electrospinning, Membrane, Graphene


Papers
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Journal ArticleDOI
TL;DR: The aim of the addressed reliable H"~ control problem is to design a controller such that, for the admissible infinite distributed delays and possible actuator failures, the closed-loop system is exponentially stable with a given disturbance attenuation level @c.

115 citations

Journal ArticleDOI
TL;DR: This paper aims to develop simplified yet improved delay-dependent robust control for uncertain T-S fuzzy systems with time-varying delay through constructing new Lyapunov-Krasovskii functionals and improving Jensen's inequality.

115 citations

Journal ArticleDOI
Wujun Ma1, Shaohua Chen1, Shengyuan Yang1, Wenping Chen1, Wei Weng1, Meifang Zhu1 
TL;DR: A bottom-up method to fabricate AC fiber employing graphene oxide (GO) as both dispersant and binder is reported, which has high electrical conductivity, high specific surface area, and good mechanical flexibility.
Abstract: Activated carbon (AC) is the most extensively used electrode material for commercial electric double layer capacitors (EDLC) given its high specific surface area (SSA) and moderate cost. However, AC is primarily used in the forms of powders, which remains a big challenge in developing AC powders into continuous fibers. If AC powders can be processed into fiber, then they may be scaled up for practical applications to supercapacitors (SCs) and satisfy the rapid development of flexible electronics. Herein, we report a bottom-up method to fabricate AC fiber employing graphene oxide (GO) as both dispersant and binder. After chemical reduction, the fiber has high electrical conductivity (185 S m–1), high specific surface area (1476.5 m2 g–1), and good mechanical flexibility. An all solid-state flexible SC was constructed using the prepared fiber as electrode, which is free of binder, conducting additive, and additional current collector. The fiber-shaped SC shows high capacitance (27.6 F cm–3 or 43.8 F g–1, no...

115 citations

Journal ArticleDOI
TL;DR: A clustering-based adaptive MOEA that adaptively generate a set of cluster centers for guiding selection at each generation to maintain diversity and accelerate convergence is proposed for solving MOPs with irregular Pareto fronts.
Abstract: Existing multiobjective evolutionary algorithms (MOEAs) perform well on multiobjective optimization problems (MOPs) with regular Pareto fronts in which the Pareto optimal solutions distribute continuously over the objective space. When the Pareto front is discontinuous or degenerated, most existing algorithms cannot achieve good results. To remedy this issue, a clustering-based adaptive MOEA (CA-MOEA) is proposed in this paper for solving MOPs with irregular Pareto fronts. The main idea is to adaptively generate a set of cluster centers for guiding selection at each generation to maintain diversity and accelerate convergence. We investigate the performance of CA-MOEA on 18 widely used benchmark problems. Our results demonstrate the competitiveness of CA-MOEA for multiobjective optimization, especially for problems with irregular Pareto fronts. In addition, CA-MOEA is shown to perform well on the optimization of the stretching parameters in the carbon fiber formation process.

115 citations

Journal ArticleDOI
TL;DR: In this paper, the use of bulk heterojunction (BHJ) structure has the intrinsic challenge to control the side-chain entanglement and bacchanal.
Abstract: All-polymer organic solar cells offer exceptional stability. Unfortunately, the use of bulk heterojunction (BHJ) structure has the intrinsic challenge to control the side-chain entanglement and bac...

115 citations


Authors

Showing all 21321 results

NameH-indexPapersCitations
Dongyuan Zhao160872106451
Xiang Zhang1541733117576
Seeram Ramakrishna147155299284
Kuo-Chen Chou14348757711
Shuai Liu129109580823
Chao Zhang127311984711
Tao Zhang123277283866
Zidong Wang12291450717
Xinchen Wang12034965072
Zhenyu Zhang118116764887
Benjamin S. Hsiao10860241071
Qian Wang108214865557
Jian Zhang107306469715
Yan Zhang107241057758
Richard B. Kaner10655766862
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022421
20212,465
20202,190
20192,003
20181,605