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Institution

Northeastern University (China)

EducationShenyang, China
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Microstructure & Control theory. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).


Papers
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Journal ArticleDOI
TL;DR: In this article, the occurrence of the 13 (bcc) to alpha (m) (hcp) massive transformation in Ti-6Al-4V (wt.%) during additive manufacturing (AM) by selective electron beam melting (SEBM) has been identified.

142 citations

Journal ArticleDOI
TL;DR: A novel coverage control scheme based on multi-objective genetic algorithm that can achieve balanced performance on different types of detection sensor models while maintaining high coverage rate is proposed.
Abstract: Due to the constrained energy and computational resources available to sensor nodes, the number of nodes deployed to cover the whole monitored area completely is often higher than if a deterministic procedure were used. Activating only the necessary number of sensor nodes at any particular moment is an efficient way to save the overall energy of the system. A novel coverage control scheme based on multi-objective genetic algorithm is proposed in this paper. The minimum number of sensors is selected in a densely deployed environment while preserving full coverage. As opposed to the binary detection sensor model in the previous work, a more precise detection model is applied in combination with the coverage control scheme. Simulation results show that our algorithm can achieve balanced performance on different types of detection sensor models while maintaining high coverage rate. With the same number of deployed sensors, our scheme compares favorably with the existing schemes.

142 citations

Journal ArticleDOI
TL;DR: Recent developments in dECM scaffolds are reviewed and perspectives accordingly are put forward, with particular focus on the concept and fabrication of decellularized scaffolds, as well as the application of de cellularization scaffolds and their combinations with stem cells in tissue engineering.

142 citations

Journal ArticleDOI
TL;DR: This work presents the fully dynamic FHMT construction, which is a construction that is able to authenticate an unbounded number of data elements and improves upon the state-of-the-art in terms of computational overhead.

142 citations

Journal ArticleDOI
TL;DR: In this article, sediment co-deposition (SCD) technique from a Watt's type electrolyte containing nano-Al2O3 particles was used to improve the corrosion and high temperature oxidation resistance of composite coatings.
Abstract: Ni–Al2O3 composite coatings were prepared by using sediment co-deposition (SCD) technique from a Watt's type electrolyte containing nano-Al2O3 particles. The corrosion resistance and high temperature oxidation resistance of resulting composite coatings were investigated. It was found that the incorporation of nano-Al2O3 particles in Ni matrix refined the Ni crystal and changed the preferential orientation of composite coatings. Meanwhile, the corrosion and oxidation resistance were improved after the incorporation of nano-Al2O3 particles into Ni matrix. The nano-Al2O3 content in deposits plays an important role for improving the corrosion and oxidation protection. The corrosion and oxidation resistance of Ni-Al2O3 nano-composite coatings produced via SCD technique are superior to that of CEP technique. Compared to pure Ni and Ni-Al2O3 composite coatings fabricated using CEP technique, the Ni–7.58 wt.% Al2O3 composite coating obtained by SCD technique exhibits better corrosion resistance and enhanced high temperature oxidation resistance. Moreover, the mechanism of corrosion and high temperature oxidation resistance of Ni–Al2O3 nano-composite coatings are discussed.

142 citations


Authors

Showing all 36436 results

NameH-indexPapersCitations
Rui Zhang1512625107917
Hui-Ming Cheng147880111921
Yonggang Huang13679769290
Yang Liu1292506122380
Tao Zhang123277283866
J. R. Dahn12083266025
Terence G. Langdon117115861603
Frank L. Lewis114104560497
Xin Li114277871389
Peng Wang108167254529
David J. Hill107136457746
Jian Zhang107306469715
Xuemin Shen106122144959
Yi Zhang102181753417
Tao Li102248360947
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023166
2022906
20214,691
20204,118
20193,653
20182,878