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Computational Framework for a Systematic Investigation of Anionic Redox Process in Li-Rich Compounds

20 November 2019, Version 1
Working Paper
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

Computational study of anionic redox processes in Li2MnO3, and newly developed methods for identifying and studying the evolution of anionic redox using density functional theory (DFT). A method for identifying localized anionic redox species is applied to a set of structures relaxed using the VASP software. A preconditioning scheme is presented to promote the formation of peroxo-like oxygen species, and study the formation and evolution of anionic redox.

Keywords

Anionic Redox
DFT Calculations
Battery Electrode Materials
Density Functional Theory

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Now Published

Computational framework for a systematic investigation of anionic redox process in Li-rich compounds [opens in a new tab]
Alexander Sougaard Tygesen, Jin Hyun Chang, Tejs Vegge, Juan Maria García-Lastra journal article
npj Computational Materials , Volume 6, Issue 1
Online publication date: May 29, 2020

Version History

Nov 20, 2019 Version 1

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The content is available under CC BY NC ND 4.0 [opens in a new tab]

DOI

10.26434/chemrxiv.10272647.v1
D O I: 10.26434/chemrxiv.10272647.v1 [opens in a new tab]

Funding

In silico design of efficient materials for next generation batteries. Grant number: 10096
EC Horizon 2020, FET-OPEN project LiRichFCC. Grant no. 711792

Author’s competing interest statement

No conflict of interest

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