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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: The proposed on-line training strategy achieves a better prediction precision as well as improves the operating efficiency for battery RUL estimation and presents an incremental optimized RVM algorithm to the model via efficient on-lines training.

194 citations

Journal ArticleDOI
TL;DR: In this paper, the uniform and highly smooth nanofibers of poly(e-caprolactone) (PCL) composited with different multi-walled carbon nanotubes (MWCNTs) content were successfully prepared by electrospinning method without the occurrence of bead defects.

193 citations

Journal ArticleDOI
TL;DR: In this article, the structure design of biomass-derived carbon materials for energy storage is presented, and the effects of structural diversity, porosity and surface heteroatom doping of biomass derived carbon materials in supercapacitors, lithium ion batteries and sodium-ion batteries are discussed in detail.
Abstract: Currently, carbon materials, such as graphene, carbon nanotubes, activated carbon, porous carbon, have been successfully applied in energy storage area by taking advantage of their structural and functional diversity. However, the development of advanced science and technology has spurred demands for green and sustainable energy storage materials. Biomass-derived carbon, as a type of electrode materials, has attracted much attention because of its structural diversities, adjustable physical/chemical properties, environmental friendliness and considerable economic value. Because the nature contributes the biomass with bizarre microstructures, the biomass-derived carbon materials also show naturally structural diversities, such as 0D spherical, 1D fibrous, 2D lamellar and 3D spatial structures. In this review, the structure design of biomass-derived carbon materials for energy storage is presented. The effects of structural diversity, porosity and surface heteroatom doping of biomass-derived carbon materials in supercapacitors, lithium-ion batteries and sodium-ion batteries are discussed in detail. In addition, the new trends and challenges in biomass-derived carbon materials have also been proposed for further rational design of biomass-derived carbon materials for energy storage.

193 citations

Journal ArticleDOI
TL;DR: The characteristics of a single D-shape PCF-SPR sensor with the same structural parameters are compared with those of the dual PCFs sensor and the latter has distinct advantages concerning the spectral sensitivity, resolution, amplitude sensitivity, and figure of merits (FOM).
Abstract: Symmetrical dual D-shape photonic crystal fibers (PCFs) for surface plasmon resonance (SPR) sensing are designed and analyzed by the finite element method (FEM). The performance of the sensor is remarkably enhanced by the directional power coupling between the two fibers. We study the influence of the structural parameters on the performance of the sensor as well as the relationship between the resonance wavelengths and analyze refractive indexes between 1.36 and 1.41. An average spectral sensitivity of 14660 nm/RIU can be achieved in this sensing range and the corresponding refractive index resolution is 6.82 × 10-6 RIU. The characteristics of a single D-shape PCF-SPR sensor with the same structural parameters are compared with those of the dual PCFs sensor and the latter has distinct advantages concerning the spectral sensitivity, resolution, amplitude sensitivity, and figure of merits (FOM).

192 citations

Journal ArticleDOI
15 Dec 2018-Energy
TL;DR: The results show that the forecasting error of DBN model was mostly at a small level, and the forecasting accuracy of the proposed method outperforms BP and MWNN by more than 44%.

192 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