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Computational understanding of Li-ion batteries This article has been corrected since publication and a corrigendum has also been published 被引量:1

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摘要 Over the last two decades,computational methods have made tremendous advances,and today many key properties of lithium-ion batteries can be accurately predicted by first principles calculations.For this reason,computations have become a cornerstone of battery-related research by providing insight into fundamental processes that are not otherwise accessible,such as ionic diffusion mechanisms and electronic structure effects,as well as a quantitative comparison with experimental results.The aim of this review is to provide an overview of state-of-the-art ab initio approaches for the modelling of battery materials.We consider techniques for the computation of equilibrium cell voltages,0-Kelvin and finite-temperature voltage profiles,ionic mobility and thermal and electrolyte stability.The strengths and weaknesses of different electronic structure methods,such as DFT+U and hybrid functionals,are discussed in the context of voltage and phase diagram predictions,and we review the merits of lattice models for the evaluation of finite-temperature thermodynamics and kinetics.With such a complete set of methods at hand,first principles calculations of ordered,crystalline solids,i.e.,of most electrode materials and solid electrolytes,have become reliable and quantitative.However,the description of molecular materials and disordered or amorphous phases remains an important challenge.We highlight recent exciting progress in this area,especially regarding the modelling of organic electrolytes and solid–electrolyte interfaces.
出处 《npj Computational Materials》 SCIE EI 2016年第1期189-201,共13页 计算材料学(英文)
基金 supported primarily by the U.S.Department of Energy(DOE)under Contract No.DE-FG02-96ER45571.
作者简介 Correspondence:Gerbrand Ceder,gceder@berkeley.edu。
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