过电位
枝晶(数学)
金属锂
相(物质)
锂(药物)
协议(科学)
领域(数学)
材料科学
过程(计算)
计算机科学
纳米技术
统计物理学
生物系统
化学
物理
数学
电极
物理化学
生物
电化学
替代医学
几何学
纯数学
电解质
有机化学
病理
内分泌学
操作系统
医学
作者
Shoutong Jin,Yongjun Wu,Hui Ying Yang,Yuhui Huang,Zijian Hong
出处
期刊:STAR protocols
[Elsevier BV]
日期:2022-09-22
卷期号:3 (4): 101713-101713
被引量:4
标识
DOI:10.1016/j.xpro.2022.101713
摘要
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) . • A protocol to simulate lithium electrodeposition using the phase-field model • Uses fully open-source software MOOSE for the phase-field simulations • Reveals the underlying physics of dendrite growth during electrodeposition • Provides theoretical design principles for suppressing lithium dendrites Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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.
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