TY - JOUR
T1 - Application of phase-field method in rechargeable batteries
AU - Wang, Qiao
AU - Zhang, Geng
AU - Li, Yajie
AU - Hong, Zijian
AU - Wang, Da
AU - Shi, Siqi
N1 - KAUST Repository Item: Exported on 2020-11-25
Acknowledgements: This work was supported by the National Natural Science Foundation of China (numbers U2030206, 51802187, and 11874254), Shanghai Pujiang Program (number 2019PJD016), and Shanghai Sailing Program (number 18YF1408700).
PY - 2020/11/19
Y1 - 2020/11/19
N2 - AbstractRechargeable 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.
AB - AbstractRechargeable 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.
UR - http://hdl.handle.net/10754/666095
UR - http://www.nature.com/articles/s41524-020-00445-w
U2 - 10.1038/s41524-020-00445-w
DO - 10.1038/s41524-020-00445-w
M3 - Article
SN - 2057-3960
VL - 6
JO - npj Computational Materials
JF - npj Computational Materials
IS - 1
ER -