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SEI-forming electrolyte additives for lithium-ion batteries: development and benchmarking of computational approaches

SEI-forming additives play an important role in lithium-ion batteries, and the key to improving battery functionality is to determine if, how, and when these additives are reduced. Here, we tested a number of computational approaches and methods to determine the best way to predict and describe the...

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Detalles Bibliográficos
Autores principales: Jankowski, Piotr, Wieczorek, Władysław, Johansson, Patrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5155019/
https://www.ncbi.nlm.nih.gov/pubmed/27966017
http://dx.doi.org/10.1007/s00894-016-3180-0
Descripción
Sumario:SEI-forming additives play an important role in lithium-ion batteries, and the key to improving battery functionality is to determine if, how, and when these additives are reduced. Here, we tested a number of computational approaches and methods to determine the best way to predict and describe the properties of the additives. A wide selection of factors were evaluated, including the influences of the solvent and lithium cation as well as the DFT functional and basis set used. An optimized computational methodology was employed to assess the usefulness of different descriptors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00894-016-3180-0) contains supplementary material, which is available to authorized users.