Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Xianzhi Yuan"'
Autor:
Wenjin Li, Peng Luo, Zhiyong Fu, Xianzhi Yuan, Mingbao Huang, Kai Wan, Zhipeng Xiang, Zhenxing Liang
Publikováno v:
Next Energy, Vol 1, Iss 2, Pp 100028- (2023)
Manganese (Mn) is a promising positive electrode element for aqueous redox flow batteries (ARFB); however, reversible and stable Mn species are still highly desirable. Herein, an ultra-stable Mn-centered Keggin-type polyoxometalate, viz. (NH4)6[MnW12
Externí odkaz:
https://doaj.org/article/665ea74d8aae4e3fb118be05f3811eb6
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7627 (2023)
Modelling both long- and short-term user interests from historical data is crucial for generating accurate recommendations. However, unifying these metrics across multiple application domains can be challenging, and existing approaches often rely on
Externí odkaz:
https://doaj.org/article/2d083b9b94e54bed867419ac7f24a0b4
Publikováno v:
Batteries, Vol 9, Iss 1, p 17 (2022)
A porous electrode is an essential component in a flow battery, and its structure determines the battery’s performance. The coupling of the multi-temporal-spatial-scale processes (e.g., electrochemical reaction, mass transfer, charge transfer) make
Externí odkaz:
https://doaj.org/article/82997b4ebb2d4b9f917275fbf80fff76
Autor:
Shuzhi Hu, Liwen Wang, Xianzhi Yuan, Zhipeng Xiang, Mingbao Huang, Peng Luo, Yufeng Liu, Zhiyong Fu, Zhenxing Liang
Publikováno v:
Energy Material Advances, Vol 2021 (2021)
A novel electroactive organic molecule, viz., 1-(1-oxyl-2,2,6,6-tetramethylpiperidin-4-yl)-1′-(3-(trimethylammonio)propyl)-4,4′-bipyridinium trichloride ((TPABPy)Cl3), is synthesized by decorating 2,2,6,6-tetramethylpiperidin-1-oxyl (TEMPO) with
Externí odkaz:
https://doaj.org/article/64d416b31fd442b5ab5ff739c1fda696
Autor:
Xianzhi, YUAN George
Publikováno v:
Operations Research Transactions / Yunchouxue Xuebao; Sep2024, Vol. 28 Issue 3, p1-26, 26p
Autor:
George Xianzhi Yuan
Publikováno v:
Numerical Functional Analysis and Optimization. 44:221-295
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20ff95c84f1cab845c8b8eeeee2261df
https://doi.org/10.1080/01630563.2023.2167088
https://doi.org/10.1080/01630563.2023.2167088
Autor:
George Xianzhi Yuan
Publikováno v:
The Journal of Analysis. 31:1447-1465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5c59537354e88f5e1e108d927f51123
https://doi.org/10.1007/s41478-022-00522-x
https://doi.org/10.1007/s41478-022-00522-x
Autor:
Yufeng Liu, Xianzhi Yuan, Mingbao Huang, Zhipeng Xiang, Shuzhi Hu, Zhiyong Fu, Xuhong Guo, Zhenxing Liang
Publikováno v:
Industrial & Engineering Chemistry Research. 61:14508-14514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030b48c00b0ce6b9c13830e4e5d42d2d
https://doi.org/10.1021/acs.iecr.2c02272
https://doi.org/10.1021/acs.iecr.2c02272
Publikováno v:
Applied Sciences; Volume 13; Issue 13; Pages: 7627
Modelling both long- and short-term user interests from historical data is crucial for generating accurate recommendations. However, unifying these metrics across multiple application domains can be challenging, and existing approaches often rely on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cad69761ac45898979c712e56794fdb7
Modelling both long and short-term user interests from historical data is crucial for accurate recommendations. However, unifying these metrics across multiple application domains can be challenging, and existing approaches often rely on complex, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2681dd5af49b8e1e502e1cf963f44c2e
https://doi.org/10.20944/preprints202305.1522.v1
https://doi.org/10.20944/preprints202305.1522.v1
