Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Wang Jia-Xin"'
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 239, Iss 2, Pp 159-161 (2024)
C26H36N4O20Zn2, triclinic, P1‾$P\overline{1}$ (no. 2), a = 6.9872(4) Å, b = 8.9052(5) Å, c = 8.9052(5) Å, α = 94.441(4)°, β = 93.552(4)°$93.552(4){}^{\circ}$, γ = 90.045(5)°$90.045(5){}^{\circ}$, V = 1651.61(16) Å3, Z = 2, Rgt${R}_{gt}$(F
Externí odkaz:
https://doaj.org/article/c44606de824646008357858de4c0a6d1
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 238, Iss 5, Pp 991-993 (2023)
C27H28N4O16Zn2, monoclinic, C2/c (no. 15), a = 13.0720(3) Å, b = 15.7589(5) Å, c = 15.7589(5) Å, β = 95.373(3)°, V = 3062.48(18) Å3, Z = 4, Rgt(F) = 0.0499, wRref(F2) = 0.1059, T = 294 K.
Externí odkaz:
https://doaj.org/article/9a9e625307b242b9827db5b90ff361c7
Autor:
WANG Jia-xin
Publikováno v:
Guangtongxin yanjiu, Vol , Pp 45-49 (2022)
When the data distribution of optical fiber link changes, machine learning can be used to evaluate the transmission quality of link, which needs to recollect data and retrain. This process is time-consuming and complex. Transfer learning directly app
Externí odkaz:
https://doaj.org/article/751ce290a63c4aa893981288cd2a7ab6
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 36, Iss 04, Pp 446-455 (2019)
Magic-angle spinning (MAS) rotor, a device for high-speed spinning of solid samples, is an essential component of the probes used in solid-state nuclear magnetic resonance (NMR) experiments. In this study, a 4 mm MAS rotor was designed and fabricated
Externí odkaz:
https://doaj.org/article/d2749a9197564a41b34537af61b22a2b
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing September 2024 215:31-43
Autor:
Zhang, Bo, Jing, Ying-Jie, Yang, Fan, Wan, Jun-Chen, Ji, Xin, Fu, Jian-Ning, Liu, Chao, Zhang, Xiao-Bin, Luo, Feng, Tian, Hao, Zhou, Yu-Tao, Wang, Jia-Xin, Guo, Yan-Jun, Zong, Weikai, Xiong, Jian-Ping, Li, Jiao
We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra ($R\sim 7,500$). The training set consists of a large set of mock spe
Externí odkaz:
http://arxiv.org/abs/2112.03818