共晶体系
溶解
锂(药物)
电动势
化学
分子动力学
热力学
氧化还原
金属
电化学
无机化学
材料科学
物理化学
计算化学
电极
合金
有机化学
内分泌学
物理
医学
量子力学
作者
Jia Zhao,yuyang wang,Guimin Lu
出处
期刊:Journal of The Electrochemical Society
[The Electrochemical Society]
日期:2022-05-01
卷期号:169 (5): 056517-056517
被引量:2
标识
DOI:10.1149/1945-7111/ac6e0c
摘要
This present paper reports two fundamental thermodynamic data, including redox potential of Li + and dissolution rate of metallic lithium in the LiCl–KCl eutectic for promoting the development of metallic lithium. Firstly, data from the first-principles molecular dynamics (FPMD) simulation was used for deep potential (DP) model training. The model’s reliability was then evaluated by the consistency of the energy, force, and radial distribution functions by comparing with FPMD simulation. After that, machine learning-driven molecular dynamics was performed by deep potential molecular dynamics (DPMD) to predict the redox potential of Li + /Li vs Cl 2 /Cl − in the LiCl–KCl eutectic. Compared with electromotive force measurements results, the maximum relative error is 6.86%. Finally, we investigated the effects of current density and temperature on lithium metal dissolution rate in the LiCl–KCl eutectic by the strategy of current reversal chronopotentiometry, respectively. In the current density range (0.041–0.245 A cm −2 ), the effect of current density on the dissolution rate of metallic lithium is negligible. As expected, lithium metal prefers to dissolve at high temperatures, and the activation energy of dissolution of lithium in LiCl–KCl eutectic is Ea = 27.78 kJ·mol −1 .
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