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Open access
volume 6 issue 1 publication number 176

Application of phase-field method in rechargeable batteries

Publication typeJournal Article
Publication date2020-11-19
scimago Q1
wos Q1
SJR2.835
CiteScore16.3
Impact factor11.9
ISSN20573960
Computer Science Applications
General Materials Science
Mechanics of Materials
Modeling and Simulation
Abstract
Rechargeable batteries have a profound impact on our daily life so that it is urgent to capture the physical and chemical fundamentals affecting the operation and lifetime. The phase-field method is a powerful computational approach to describe and predict the evolution of mesoscale microstructures, which can help to understand the dynamic behavior of the material systems. In this review, we briefly introduce the theoretical framework of the phase-field model and its application in electrochemical systems, summarize the existing phase-field simulations in rechargeable batteries, and provide improvement, development, and problems to be considered of the future phase-field simulation in rechargeable batteries.
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GOST |
Cite this
GOST Copy
Wang Q. et al. Application of phase-field method in rechargeable batteries // npj Computational Materials. 2020. Vol. 6. No. 1. 176
GOST all authors (up to 50) Copy
Wang Q., Zhang G., Li Y., Hong Z., Wang D., Shi S. Application of phase-field method in rechargeable batteries // npj Computational Materials. 2020. Vol. 6. No. 1. 176
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1038/s41524-020-00445-w
UR - https://doi.org/10.1038/s41524-020-00445-w
TI - Application of phase-field method in rechargeable batteries
T2 - npj Computational Materials
AU - Wang, Qiao
AU - Zhang, Geng
AU - Li, Yajie
AU - Hong, Zijian
AU - Wang, Da
AU - Shi, Siqi
PY - 2020
DA - 2020/11/19
PB - Springer Nature
IS - 1
VL - 6
SN - 2057-3960
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Wang,
author = {Qiao Wang and Geng Zhang and Yajie Li and Zijian Hong and Da Wang and Siqi Shi},
title = {Application of phase-field method in rechargeable batteries},
journal = {npj Computational Materials},
year = {2020},
volume = {6},
publisher = {Springer Nature},
month = {nov},
url = {https://doi.org/10.1038/s41524-020-00445-w},
number = {1},
pages = {176},
doi = {10.1038/s41524-020-00445-w}
}