Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework

Shoutong Jin; Yongjun Wu; Hui Yang; Yuhui Huang; Zijian Hong

doi:10.1016/j.xpro.2022.101713

Protocol for phase-field simulations of lithium dendrite growth with MOOSE framework

STAR Protoc. 2022 Dec 16;3(4):101713. doi: 10.1016/j.xpro.2022.101713. Epub 2022 Sep 22.

Authors

Shoutong Jin¹, Yongjun Wu², Hui Yang¹, Yuhui Huang¹, Zijian Hong³

Affiliations

¹ School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China.
² School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China; Cyrus Tang Center for Sensor Materials and Applications, State Key Laboratory of Silicon Materials, Zhejiang University, Hangzhou, Zhejiang 310027, China. Electronic address: yongjunwu@zju.edu.cn.
³ School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China; Cyrus Tang Center for Sensor Materials and Applications, State Key Laboratory of Silicon Materials, Zhejiang University, Hangzhou, Zhejiang 310027, China. Electronic address: hongzijian100@zju.edu.cn.

Abstract

Phase-field simulation is a powerful tool for understanding lithium metal electrodeposition. This protocol outlines the process of numerically solving the phase-field equations using the MOOSE framework. Here, we describe steps to obtain the spatiotemporal distribution of major physical characteristics such as phase-field, ion concentration, overpotential, and driving force. Such an approach may help to reveal the underlying physics and kinetics of dendrite growth, while also providing design principles for suppressing lithium dendrites. For complete details on the use and execution of this protocol, please refer to Hong and Viswanathan (2018).

Keywords: Computer sciences; Energy; Material sciences; Physics.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computer Simulation
Dendrites*
Kinetics
Lithium*

Substances

Lithium