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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, Membrane, Electrospinning, Catalysis


Papers
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Journal ArticleDOI
TL;DR: In this paper, the quantized H∞ control problem for a class of nonlinear stochastic time-delay network-based systems with probabilistic data missing is investigated, where the measured output and the input signals are quantized by two logarithmic quantizers, respectively.
Abstract: In this paper, the quantized H∞ control problem is investigated for a class of nonlinear stochastic time-delay network-based systems with probabilistic data missing. A nonlinear stochastic system with state delays is employed to model the networked control systems where the measured output and the input signals are quantized by two logarithmic quantizers, respectively. Moreover, the data missing phenomena are modeled by introducing a diagonal matrix composed of Bernoulli distributed stochastic variables taking values of 1 and 0, which describes that the data from different sensors may be lost with different missing probabilities. Subsequently, a sufficient condition is first derived in virtue of the method of sector-bounded uncertainties, which guarantees that the closed-loop system is stochastically stable and the controlled output satisfies H∞ performance constraint for all nonzero exogenous disturbances under the zero-initial condition. Then, the sufficient condition is decoupled into some inequalities for the convenience of practical verification. Based on that, quantized H∞ controllers are designed successfully for some special classes of nonlinear stochastic time-delay systems by using Matlab linear matrix inequality toolbox. Finally, a numerical simulation example is exploited to show the effectiveness and applicability of the results derived.

239 citations

Journal ArticleDOI
TL;DR: In this article, an experimental study on the operational limitation of closed loop pulsating heat pipes (CLPHPs), which consist of a total of 40 copper tubes with 1mm and 2mm inner diameter, respectively, was presented.

239 citations

Journal ArticleDOI
TL;DR: The FA-targeted Fe3O4 NPs are able to be used as an efficient nanoprobe for MR imaging of cancer cells in vitro and a xenografted tumor model in vivo via an active FA targeting pathway.

239 citations

Journal ArticleDOI
TL;DR: In this article, a facile hydrothermal and thermal decomposition process was successfully developed to grow 3D NiCo2O4 micro-spheres constructed with radial chain-like nanowires with different exposed crystal planes.
Abstract: Faceted crystals with different exposed planes have attracted intensive investigations for applications. Herein, we report a facile hydrothermal and thermal decomposition process which is successfully developed to grow 3D NiCo2O4 micro-spheres constructed with radial chain-like NiCo2O4 nanowires with different exposed crystal planes. When applied as electrode materials for supercapacitors, chain-like NiCo2O4 nanowires exhibit excellent electrochemical performances in supercapacitors with high specific capacitance (1284 F g−1 at 2 A g−1), good rate capability, and excellent cycling stability (only 2.5% loss after 3000 cycles). In situ electrical properties clearly illustrated that the chain-like nanowires with different exposed crystal planes exhibit excellent electronic conductivity, which shows that the electronic conductivity plays an essential role for electrode materials in supercapacitors. So, high electronic conductivity chain-like NiCo2O4 nanowires with different exposed crystal planes can form a competitive electrode material for next generation supercapacitors.

239 citations

Journal ArticleDOI
TL;DR: A dual-functional flexible free-standing carbon nanofiber conductive framework in situ embedded with TiN-VN heterostructures as an advanced host simultaneously for both the sulfur cathode and the lithium anode is designed, paving a new design from theoretical and experimental aspects for fabricating high-energy-density flexible Li-S full batteries.
Abstract: Lithium-sulfur (Li-S) batteries are strongly considered as next-generation energy storage systems because of their high energy density. However, the shuttling of lithium polysulfides (LiPS), sluggish reaction kinetics, and uncontrollable Li-dendrite growth severely degrade the electrochemical performance of Li-S batteries. Herein, a dual-functional flexible free-standing carbon nanofiber conductive framework in situ embedded with TiN-VN heterostructures (TiN-VN@CNFs) as an advanced host simultaneously for both the sulfur cathode (S/TiN-VN@CNFs) and the lithium anode (Li/TiN-VN@CNFs) is designed. As cathode host, the TiN-VN@CNFs can offer synergistic function of physical confinement, chemical anchoring, and superb electrocatalysis of LiPS redox reactions. Meanwhile, the well-designed host with excellent lithiophilic feature can realize homogeneous lithium deposition for suppressing dendrite growth. Combined with these merits, the full battery (denoted as S/TiN-VN@CNFs || Li/TiN-VN@CNFs) exhibits remarkable electrochemical properties including high reversible capacity of 1110 mAh g-1 after 100 cycles at 0.2 C and ultralong cycle life over 600 cycles at 2 C. Even with a high sulfur loading of 5.6 mg cm-2 , the full cell can achieve a high areal capacity of 5.5 mAh cm-2 at 0.1 C. This work paves a new design from theoretical and experimental aspects for fabricating high-energy-density flexible Li-S full batteries.

239 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
2022422
20212,466
20202,190
20192,003
20181,605