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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: The HTEV with perfect histocompatibility and biomechanics provide a facile and useful technique for the development of SDVGs and prevented the occurrence of vasodilation and aneurysm formation after transplantation.

131 citations

Journal ArticleDOI
Fang Li1, Huang Jiahui1, Qin Xia1, Mengmeng Lou1, Bo Yang1, Qing Tian1, Yanbiao Liu1 
TL;DR: In this paper, the feasibility of utilizing direct contact membrane distillation (DCMD) for the treatment of industrial dyeing wastewater and their characteristic pollutants were demonstrated, and two commercial hydrophobic membranes made of polytetrafluoroethylene and polyvinylidene fluoride (PVDF) were comparatively studied.

131 citations

Journal ArticleDOI
21 Mar 2018-Joule
TL;DR: In this paper, the state-of-charge (SOC) heterogeneities in electrochemically charged or discharged and chemically oxidized samples of LiNi 0.6 Mn 0.2 O 2 cathode materials were investigated.

131 citations

Journal ArticleDOI
TL;DR: In this paper, the conjugated microporous polycarbazole networks were used as precursors for nitrogen-enriched porous carbons, which exhibit high nitrogen content, ultramicropore size, and large surface area.
Abstract: The design and synthesis of novel microporous materials have received tremendous attention in both CO2 storage and sequestration (CSS) and electrochemical energy storage (EES) We report molecular design and synthesis of conjugated microporous polycarbazole networks as new precursors for nitrogen-enriched porous carbons As-prepared porous carbons exhibit a high nitrogen content (61 wt %), ultramicropore size (07–1 nm), and large surface area (1280 m2 g–1) As a result, these novel nitrogen-enriched carbons show highly efficient and reversible CO2 capture (can store 204 wt % at 1 bar and 111 wt % at 015 bar and at 273 K, while maintaining 100% CO2 uptake capacity after five cycles) Moreover, they can be applied as electrodes and enable high-performance EES devices with a fast charge/discharge rate (8 s), high electrochemical capacity (558 F g–1), and good cycle ability (retain 95% capacity after 1000 cycles)

131 citations

Journal ArticleDOI
TL;DR: This polymer displays high resistance towards nonspecific enzyme/cell binding and recognizes targeted cells specifically to allow intimate electrical communication over long periods of time, and its low electrical impedance relays electrical signals efficiently.
Abstract: Although electrically stimulated neurite outgrowth on bioelectronic devices is a promising means of nerve regeneration, immunogenic scar formation can insulate electrodes from targeted cells and tissues, thereby reducing the lifetime of the device. Ideally, an electrode material capable of electrically interfacing with neurons selectively and efficiently would be integrated without being recognized by the immune system and minimize its response. Here we develop a cell membrane-mimicking conducting polymer possessing several attractive features. This polymer displays high resistance towards nonspecific enzyme/cell binding and recognizes targeted cells specifically to allow intimate electrical communication over long periods of time. Its low electrical impedance relays electrical signals efficiently. This material is capable to integrate biochemical and electrical stimulation to promote neural cellular behaviour. Neurite outgrowth is enhanced greatly on this new conducting polymer; in addition, electrically stimulated secretion of proteins from primary Schwann cells can also occur on it.

131 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