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Institution

Harbin Engineering University

EducationHarbin, Heilongjiang, China
About: Harbin Engineering University is a education organization based out in Harbin, Heilongjiang, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 31149 authors who have published 27940 publications receiving 276787 citations. The organization is also known as: HEU.


Papers
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Journal ArticleDOI
TL;DR: A hierarchical porous Ni(OH)2/graphene composite as a electrode material for supercapacitors displays ultrahigh specific capacitance, superior cycling performance, and excellent rate capability as mentioned in this paper.
Abstract: Hierarchical porous Ni(OH)2 nanoflakes anchored on graphene sheets has been fabricated by a facile chemical precipitation approach. The as-prepared Ni(OH)2/graphene composite as a electrode material for supercapacitors displays ultrahigh specific capacitance, superior cycling performance, and excellent rate capability. A maximum specific capacitance of 2194 F g−1 could be obtained at 2 mV s−1 in 6 M KOH aqueous solution. Meanwhile, the electrode exhibits excellent long cycle life along with 95.7% specific capacitance retained after 2000 cycle tests. Such composite is a highly promising candidate as electrode material for broad applications in energy conversion/storage systems.

257 citations

Journal ArticleDOI
08 Apr 2011-ACS Nano
TL;DR: The fabrication of 3D carbonaceous material composed of 1D carbon nanofibers grown on 2D graphene sheets via a CVD approach in a fluidized bed reactor shows high reversible capacity, high-rate performance, and cycling stability, which is superior to those of pure graphene, natural graphite, and carbon nanotubes.
Abstract: We report on the fabrication of 3D carbonaceous material composed of 1D carbon nanofibers (CNF) grown on 2D graphene sheets (GNS) via a CVD approach in a fluidized bed reactor. Nanographene-constructed carbon nanofibers contain many cavities, open tips, and graphene platelets with edges exposed, providing more extra space for Li(+) storage. More interestingly, nanochannels consisting of graphene platelets arrange almost perpendicularly to the fiber axis, which is favorable for lithium ion diffusion from different orientations. In addition, 3D interconnected architectures facilitate the collection and transport of electrons during the cycling process. As a result, the CNF/GNS hybrid material shows high reversible capacity (667 mAh/g), high-rate performance, and cycling stability, which is superior to those of pure graphene, natural graphite, and carbon nanotubes. The simple CVD approach offers a new pathway for large-scale production of novel hybrid carbon materials for energy storage.

256 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the dielectric properties of the Fe3O4/ZnO core/shell nanorod−wax composites and showed that the resonant behavior mainly results from interface polarization induced by the special core/hell structures, dipole polarization of both Fe3 o4 and ZnO, and electron transfer between Fe2+ and Fe3+ ions in Fe3 O4.
Abstract: Fe3O4/ZnO core/shell nanorods are successfully fabricated by combing an inorganic-phase reaction with a hydrogen annealing process. The transmission electron microscopy analysis indicates that the diameter and the length of the core/shell nanorods are 25−80 and 0.35−1.2 μm, respectively. Electromagnetic properties of the core/shell nanorod−wax composites are investigated. The permittivity of the composites shows four dielectric resonant peaks in 2−18 GHz, which can be explained by the transmission line theory. The resonant behavior mainly results from interface polarization induced by the special core/shell structures, dipole polarization of both Fe3O4 and ZnO, and electron transfer between Fe2+ and Fe3+ ions in Fe3O4. The maximum reflection loss is about −30 dB at 10.4 GHz for the composites with a thickness of 1.5 mm, and the absorption bandwidth with the reflection loss below −20 dB is up to 11 GHz for an absorber with the thickness in 2−4 mm. Thus, our results demonstrate that the Fe3O4/ZnO core/shell...

256 citations

Journal ArticleDOI
Jie Xu1, Shili Gai1, Fei He1, Na Niu1, Peng Gao1, Yujin Chen1, Piaoping Yang1 
TL;DR: In this paper, a facile in situ growth process was developed to prepare a hierarchical 3D composite composed of graphene layers with layered double hydroxide (LDH) nanosheet arrays grown on both sides.
Abstract: In this study, we have developed, for the first time, a facile in situ growth process to prepare a hierarchical three-dimensional (3D) composite composed of graphene layers with layered double hydroxide (LDH) nanosheet arrays grown on both sides. The fabrication process involves coating AlOOH colloids onto the graphene surfaces and the subsequent in situ growth of layered NiAl–LDH nanosheet arrays on the surfaces of graphene sheets via a hydrothermal process. It is found that the NiAl–LDH nanosheet arrays grow perpendicularly and uniformly on both sides of the graphene sheets, constructing a hierarchical 3D nanocomposite with an interesting sandwich structure. This uniquely structured composite has a large specific surface area (184.7 m2 g−1) and typical mesoporous characteristics, which are favorable for achieving high pseudocapacitance performance. Our results reveal that the composite has a specific capacitance of 1329 F g−1 at a current density of 3.57 A g−1, and the specific capacitance still remains as high as 851 F g−1 even when the current density is increased to 17.86 A g−1. The specific capacitance remains at 91% (823 F g−1) after 500 cycles at 15.30 A g−1 compared with 74% for pure Ni/Al–LDH. The in situ growth method may pave a way to design and fabricate diverse LDH/graphene composites with interesting structures for potential application in supercapacitors and other fields.

254 citations


Authors

Showing all 31363 results

NameH-indexPapersCitations
Peng Shi137137165195
Lei Zhang130231286950
Yang Liu1292506122380
Tao Zhang123277283866
Wei Zhang104291164923
Wei Liu102292765228
Feng Yan101104141556
Lianzhou Wang9559631438
Xiaodong Xu94112250817
Zhiguo Yuan9363328645
Rong Wang9095032172
Jun Lin8869930426
Yufeng Zheng8779731425
Taihong Wang8427925945
Mao-Sheng Cao8131424046
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022408
20212,476
20202,484
20192,402
20182,173