Institution
Donghua University
Education•Shanghai, 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 published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Dongyuan Zhao | 160 | 872 | 106451 |
Xiang Zhang | 154 | 1733 | 117576 |
Seeram Ramakrishna | 147 | 1552 | 99284 |
Kuo-Chen Chou | 143 | 487 | 57711 |
Shuai Liu | 129 | 1095 | 80823 |
Chao Zhang | 127 | 3119 | 84711 |
Tao Zhang | 123 | 2772 | 83866 |
Zidong Wang | 122 | 914 | 50717 |
Xinchen Wang | 120 | 349 | 65072 |
Zhenyu Zhang | 118 | 1167 | 64887 |
Benjamin S. Hsiao | 108 | 602 | 41071 |
Qian Wang | 108 | 2148 | 65557 |
Jian Zhang | 107 | 3064 | 69715 |
Yan Zhang | 107 | 2410 | 57758 |
Richard B. Kaner | 106 | 557 | 66862 |