Zobrazeno 1 - 10 of 62 pro vyhledávání: '"Qiuchen He"'
1
Akademický článek
Facile synthesis of a novel P-doped carbon coated nickel phosphides nanorods as sodium storage anode materials
Autor: Qiuchen He, Yong Li, Dianlong Wang, Jingying Xie
Publikováno v: Journal of Materiomics, Vol 10, Iss 2, Pp 408-415 (2024)
Nickel-based phosphides as anode materials of sodium ion batteries have high capacity, but poor cycle stability and low electrical conductivity. Rational structural design for nickel-based phosphides with carbon provides a new way to address the abov
Externí odkaz: https://doaj.org/article/44179e66e3ce41668ab66f5324a65e6f
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2
Akademický článek
Facile Synthesis of Nickel Phosphide @ N-Doped Carbon Nanorods with Exceptional Cycling Stability as Li-Ion and Na-Ion Battery Anode Material
Autor: Fang Fu, Qiuchen He, Xuan Zhang, Julian Key, Peikang Shen, Jinliang Zhu
Publikováno v: Batteries, Vol 9, Iss 5, p 267 (2023)
Nickel phosphide (Ni2P), as an anode material for both lithium- and sodium-ion batteries, offers high theoretical specific and volumetric capacities. However, considerable challenges include its limited rate capability and low cycle stability arising
Externí odkaz: https://doaj.org/article/6d6b6f19434a4b44a9e8dca80213ced2
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3
Akademický článek
A Siamese Vision Transformer for Bearings Fault Diagnosis
Autor: Qiuchen He, Shaobo Li, Qiang Bai, Ansi Zhang, Jing Yang, Mingming Shen
Publikováno v: Micromachines, Vol 13, Iss 10, p 1656 (2022)
Fault diagnosis methods based on deep learning have progressed greatly in recent years. However, the limited training data and complex work conditions still restrict the application of these intelligent methods. This paper proposes an intelligent bea
Externí odkaz: https://doaj.org/article/057609b20e924c75b6c2c4836e4130b0
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5
A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance
Autor: Mingming Shen, Shaobo Li, Jing Yang, Ansi Zhang, Qiuchen He, Ruiqiang Pu
Publikováno v: International Journal of Intelligent Systems. 2023:1-16
The manufacturing processes of unmanned aerial vehicle (UAV) power systems generate large amounts of data and knowledge. The extraction of useful information or patterns from redundant data and knowledge texts has become a challenge in intelligent ma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7391e7a7a90f4d551ede0c385cb15b6b
https://doi.org/10.1155/2023/3322735
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6
A Tandem Reaction System for Inactivation of Marine Microorganisms by Commercial Carbon Black and Boron-Doped Carbon Nitride
Autor: Qiuchen He, Su Zhan, Feng Zhou
Publikováno v: ACS omega. 7(19)
The Pureballast system, based on photocatalytic technology, can purify ships' ballast water. However, the efficiency of photocatalytic sterilization still needs to be improved due to the shortcomings of the photocatalyst itself and the complex compon
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b2be2e111387ef7e4361c7300e6757
https://pubmed.ncbi.nlm.nih.gov/35601316
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8
A Hybrid Matching Network for Fault Diagnosis under Different Working Conditions with Limited Data
Autor: Qiuchen He, Shaobo Li, Chuanjiang Li, Junxing Zhang, Ansi Zhang, Peng Zhou
Publikováno v: Computational Intelligence and Neuroscience.
Intelligent fault diagnosis methods based on deep learning have achieved much progress in recent years. However, there are two major factors causing serious degradation of the performance of these algorithms in real industrial applications, i.e., lim
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c8c3bc0730b82fbf9d032cf884066ab
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Plný text Recenzováno Digitální knihovna AV ČR
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