Adsorption and ultrafast diffusion of lithium in bilayer graphene ab initio and kinetic Monte Carlo simulation study
Kehua Zhong, Ruina Hu, Guigui Xu, Yanmin Yang, Jian-Min Zhang, and, Zhigao Huang

TL;DR
This study combines first-principles calculations and kinetic Monte Carlo simulations to analyze lithium adsorption and ultrafast diffusion in bilayer graphene, revealing stacking-dependent diffusion properties and potential for battery applications.
Contribution
It introduces a new predictive equation for energy barriers considering lithium interactions and demonstrates ultrafast lithium diffusion in AB-stacked bilayer graphene through combined simulations.
Findings
Li prefers intercalation over adsorption in bilayer graphene.
Ultrafast Li diffusion occurs in AB-stacked but not AA-stacked bilayer graphene.
Stacking structure significantly influences Li diffusion and potential well height.
Abstract
In this work, we adopt first-principle calculations based on density functional theory and Kinetic Monte Carlo simulations to investigate the adsorption and diffusion of lithium in bilayer graphene (BLG) as anodes in lithium-ion batteries. Based on energy barriers directly obtained from first-principle calculations for single-Li and two-Li intercalated BLG, a new equation was deduced for predicting energy barriers considering Li's interactions for multi-Li intercalated BLG. Our calculated results indicate that Li energetically prefers to intercalate within rather than adsorb outside the bilayer graphene. Additionally, lithium exists in cationic state in the bilayer graphene. More excitingly, ultrafast Li diffusion coefficient, within AB-stacked BLG near room temperature was obtained, which reproduces the ultrafast Li diffusion coefficient measured in recent experiment. However,…
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