用密度泛函理论计算锌离子电池二维材料的计算设计

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Muhammad Arif, Yixin Li, Qi Zhang, Yougen Tang, Haiyang Wang
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引用次数: 0

摘要

锌离子电池(zib)由于其高理论容量、环境友好性和成本效益而成为一种有前途的储能系统。然而,ZIBs面临着严峻的挑战,包括枝晶生长、有限的能量密度和循环稳定性问题。由于2D材料具有缺陷工程、异质结构形成和层间修饰的潜力,因此它们作为电极材料在ZIBs中获得了极大的兴趣。密度泛函理论(DFT)计算在理解这些材料的固有性质及其电化学反应机理方面发挥了关键作用。本文系统地研究了各种用于ZIB电极的二维材料的计算设计,重点关注离子传输动力学、吸附机制、电子能带结构、态密度、电荷分布和通过第一线原理计算的迁移障碍。这篇综述展示了DFT引导的设计策略如何优化电极性能,并讨论了zbs理论和实验研究的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Design of 2D Materials for Zinc‐Ion Batteries Using Density Functional Theory Calculations
Zinc‐ion batteries (ZIBs) are emerging as promising energy storage systems due to their high theoretical capacity, environmental friendliness, and cost‐effectiveness. However, ZIBs face serious challenges including dendrite growth, limited energy density, and cycling stability issues. 2D materials have garnered significant interest as electrode materials in ZIBs due to their potential for defect engineering, heterostructure formation, and interlayer modifications. Density functional theory (DFT) calculations have played a pivotal role in understanding the inherent properties of these materials and their electrochemical reaction mechanisms. This review systematically examines the computational design of various 2D materials for ZIB electrode applications, focusing on ion transport kinetics, adsorption mechanisms, electronic band structures, density of states, charge distributions, and migration barriers through first‐principles calculations. This review demonstrates how DFT‐guided design strategies can optimize electrode performance and concludes by discussing the future direction for advancing both theoretical and experimental research in ZIBs.
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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
期刊介绍: Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including: materials, chemistry, condensed matter physics engineering, energy life science, biology, medicine atmospheric/environmental science, climate science planetary science, astronomy, cosmology method development, numerical methods, statistics
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