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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: Control theory & Microstructure. 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 paper, a novel layered ternary material K0.67Ni0.17Co0.66O2 has been fabricated via a co-precipitation assisted solid-phase method and further evaluated as a cathode for potassium-ion batteries for the first time.

113 citations

Journal ArticleDOI
TL;DR: In this article, a physical metallurgy-guided machine learning model was developed, wherein intermediate parameters were generated based on original inputs and PM principles, e.g., equilibrium volume fraction (Vf) and driving force (Df) for precipitation, and these were added to the original dataset vectors as extra dimensions to participate in and guide the ML process.

113 citations

Journal ArticleDOI
TL;DR: The proposed approach has been applied to a 7-degree of freedom building model for structural damage detection, and proves to be feasible, efficient and satisfactory, and shows that the identification accuracy can be boosted with the proposed approach instead of FNN models alone.
Abstract: It is proposed in this paper a novel two-stage structural damage detection approach using fuzzy neural networks (FNNs) and data fusion techniques. The method is used for structural health monitoring and damage detection, particularly for cases where the measurement data is enormous and with uncertainties. In the first stage of structural damage detection, structural modal parameters derived from structural vibration responses are fed into an FNN as the input. The output values from the FNN are defuzzified to produce a rough structural damage assessment. Later, in the second stage, the values output from three different FNN models are input directly to the data fusion center where fusion computation is performed. The final fusion decision is made by filtering the result with a threshold function, hence a refined structural damage assessment of superior reliability. The proposed approach has been applied to a 7-degree of freedom building model for structural damage detection, and proves to be feasible, efficient and satisfactory. Furthermore, the simulation result also shows that the identification accuracy can be boosted with the proposed approach instead of FNN models alone.

113 citations

Journal ArticleDOI
TL;DR: In this paper, the interfacial microstructure and mechanical properties of Cu/Al clad sheet fabricated by asymmetrical roll bonding and annealing were studied by scanning electron microscope equipped with energy dispersive X-ray detector, micro-hardness, tension and peeling test.
Abstract: The interfacial microstructure and mechanical properties of Cu/Al clad sheet fabricated by asymmetrical roll bonding and annealing were studied by scanning electron microscope equipped with energy dispersive X-ray detector, micro-hardness, tension and peeling test. The stress state of deformation zone was analyzed qualitatively to express the advantage of asymmetrical roll bonding. The results show that the asymmetrical roll bonding with larger mismatch speed ratio causes severe shear plastic deformation of component metals, and provides a good interface for atoms diffusion during annealing. The interfacial microstructure is improved and interfacial layer thickness increases. The roll bonding with larger speed ratio improves the ultimate tensile strength, elongation and peeling force of clad sheet, and reduces the micro-hardness of interfacial zone.

113 citations

Journal ArticleDOI
TL;DR: A mode-dependent average dwell-time (MDADT) approach, which means that each subsystem has its own average dwell time, is adopted in this paper to reduce the conservativeness of theaverage dwell time method.

113 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
20214,689
20204,118
20193,653
20182,878