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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 & Computer science. 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 obtained phosphorus-doped graphene quantum dots exhibit excellent scavenging activity of free radicals, such as hydroxyl radicals (˙OH) and 2,2-diphenyl-1-picrylhydrazyl (DPPH).
Abstract: In this work, phosphorus-doped graphene quantum dots (P-GQDs) with a high phosphorus doping content (>7 at%) are synthesized via an electrochemical approach. Sodium phytate (C6H6Na12O24P6), a green food antioxidant additive, is used as the electrolyte for providing both a phosphorus source and an electrolysis environment. The obtained P-GQDs exhibit excellent scavenging activity of free radicals, such as hydroxyl radicals (˙OH) and 2,2-diphenyl-1-picrylhydrazyl (DPPH). Combined with Raman, FT-IR, and XPS spectral analyses, the reason for high phosphorus content and the mechanism of free radical scavenging of P-GQDs are investigated in our work.

147 citations

Journal ArticleDOI
01 Sep 2013-Optik
TL;DR: A new spatiotemporal chaotic system is introduced by defining the local nonlinear map in the CML with the nonlinear chaotic algorithm (NCA) chaotic map, and an image encryption scheme with the permutation-diffusion mechanism based on these chaotic maps is proposed.

145 citations

Journal ArticleDOI
TL;DR: The proposed RNA-LMS/F algorithm exhibits an improved performance in terms of the convergence speed and the steady-state error, which can provide a zero attractor to further exploit the sparsity of the channel by the use of the norm adaption penalty and the reweighting factor.

145 citations

Journal ArticleDOI
TL;DR: In this paper, a graphite-granule anode, tubular air-cathode MFC (GTMFC) capable of continuous electricity generation from glucose-based substrates was developed.

145 citations

Journal ArticleDOI
TL;DR: A review of the recent developments of smoothed particle hydrodynamics (SPH) method and its typical applications in fluid-structure interactions in ocean engineering can be found in this article.
Abstract: In ocean engineering, the applications are usually related to a free surface which brings so many interesting physical phenomena (e.g. water waves, impacts, splashing jets, etc.). To model these complex free surface flows is a tough and challenging task for most computational fluid dynamics (CFD) solvers which work in the Eulerian framework. As a Lagrangian and meshless method, smoothed particle hydrodynamics (SPH) offers a convenient tracking for different complex boundaries and a straightforward satisfaction for different boundary conditions. Therefore SPH is robust in modeling complex hydrodynamic problems characterized by free surface boundaries, multiphase interfaces or material discontinuities. Along with the rapid development of the SPH theory, related numerical techniques and high-performance computing technologies, SPH has not only attracted much attention in the academic community, but also gradually gained wide applications in industrial circles. This paper is dedicated to a review of the recent developments of SPH method and its typical applications in fluid-structure interactions in ocean engineering. Different numerical techniques for improving numerical accuracy, satisfying different boundary conditions, improving computational efficiency, suppressing pressure fluctuations and preventing the tensile instability, etc., are introduced. In the numerical results, various typical fluid-structure interaction problems or multiphase problems in ocean engineering are described, modeled and validated. The prospective developments of SPH in ocean engineering are also discussed.

145 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