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Computational Insights into Charge Storage Mechanisms of Supercapacitors

Kui Xu, Hui Shao, Zifeng Lin, Céline Merlet, Guang Feng, Jixin Zhu, Patrice Simon

2020Energy & environment materials80 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Electrochemical energy storageEnergy storageSupercapacitorNanotechnologyDensity functional theoryNanoporousCharge (physics)Materials scienceComputer data storageMonte Carlo methodComputer scienceElectrochemistryElectrodeChemistryPhysicsPower (physics)Computational chemistryQuantum mechanicsOperating systemStatisticsPhysical chemistryMathematicsSupercapacitor Materials and FabricationMXene and MAX Phase MaterialsAdvancements in Battery Materials
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