Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ruqing Fang"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 3, Pp 031101-031101-12 (2024)
Phase-field models are widely used to describe phase transitions and interface evolution in various scientific disciplines. In this Tutorial, we present two neural network methods for solving them. The first method is based on physics-informed neural
Externí odkaz:
https://doaj.org/article/d77bb004a9cf4bedb48842cde207919b
Publikováno v:
Electrochemistry Communications, Vol 140, Iss , Pp 107342- (2022)
In this study, single-particle electrode technique is adopted to measure the impedance response of SiOx materials for the first time. The electrochemical impedance spectroscopies of two SiOx particles are measured at different insertion ratios and di
Externí odkaz:
https://doaj.org/article/6e24f149836d4b5bacf9dc088645570b
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Energy Storage. 56:105920
Publikováno v:
Journal of Power Sources. 549:232146
Autor:
Ruqing Fang, Zhe Li
Publikováno v:
Journal of The Electrochemical Society. 169:090515
Extended from the electrochemo-mechanical single particle model, an electrochemo-mechanical impedance model for porous electrode in LIB, which consider the effect of the contact stress, is proposed in this work. A modified coefficient ζ which links
Publikováno v:
Journal of Energy Storage. 52:104951
Autor:
Ruqing Fang, Zhe Li
Publikováno v:
Journal of The Electrochemical Society; Sep2022, Vol. 169 Issue 9, p1-14, 14p
Autor:
Zhe Li, Ruqing Fang, Hao Ge, Zhongxiao Liu, Spingler, Franz B., Jossen, Andreas, Jianbo Zhang, Liaw, Boryann
Publikováno v:
Journal of The Electrochemical Society; Aug2022, Vol. 169 Issue 8, p1-15, 15p