超级电容器
电化学储能
密度泛函理论
纳米孔
储能
电荷(物理)
蒙特卡罗方法
计算机数据存储
材料科学
计算机科学
纳米技术
电化学
化学
物理
计算化学
电极
功率(物理)
物理化学
统计
量子力学
数学
操作系统
作者
Kui Xu,Hui Shao,Zifeng Lin,Céline Merlet,Guang Feng,Jixin Zhu,Patrice Simon
出处
期刊:Energy & environmental materials
日期:2020-08-29
卷期号:3 (3): 235-246
被引量:61
摘要
Computational modeling methods, including molecular dynamics (MD) and Monte Carlo (MC) simulations, and density functional theory (DFT), are receiving booming interests for exploring charge storage mechanisms of electrochemical energy storage devices. These methods can effectively be used to obtain molecular scale local information or provide clear explanations for novel experimental findings that cannot be directly interpreted through experimental investigations. This short review is dedicated to emphasizing recent advances in computational simulation methods for exploring the charge storage mechanisms in typical nanoscale materials, such as nanoporous carbon materials, 2D MXene materials, and metal‐organic framework electrodes. Beyond a better understanding of charge storage mechanisms and experimental observations, fast and accurate enough models would be helpful to provide theoretical guidance and experimental basis for the design of new high‐performance electrochemical energy storage devices.
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