Phase segregation and nanoconfined fluid O2 in a lithium-rich oxide cathode

Kit McColl, Samuel Coles, Pezhman Zarabadi-Poor, Benjamin Morgan, M. Saiful Islam

Research output: Contribution to journalArticlepeer-review

27 Citations (SciVal)

Abstract

Lithium-rich oxide cathodes lose energy density during cycling due to atomic disordering and nanoscale structural rearrangements, which are both challenging to characterize. Here we resolve the kinetics and thermodynamics of these processes in an exemplar layered Li-rich (Li 1.2–xMn 0.8O 2) cathode using a combined approach of ab initio molecular dynamics and cluster expansion-based Monte Carlo simulations. We identify a kinetically accessible and thermodynamically favourable mechanism to form O 2 molecules in the bulk, involving Mn migration and driven by interlayer oxygen dimerization. At the top of charge, the bulk structure locally phase segregates into MnO 2-rich regions and Mn-deficient nanovoids, which contain O 2 molecules as a nanoconfined fluid. These nanovoids are connected in a percolating network, potentially allowing long-range oxygen transport and linking bulk O 2 formation to surface O 2 loss. These insights highlight the importance of developing strategies to kinetically stabilize the bulk structure of Li-rich O-redox cathodes to maintain their high energy densities.

Original languageEnglish
Pages (from-to)826-833
Number of pages8
JournalNature Materials
Volume23
Issue number6
Early online date13 May 2024
DOIs
Publication statusPublished - 13 May 2024

Data Availability Statement

A complete dataset for the computational modelling and analysis described in this paper is available at Zenodo (https://doi.org/10.5281/zenodo.11068469) (ref. 65) and will be available from the University of Bath Research Data Archive. This dataset contains inputs and outputs for all DFT calculations plus scripts for analysis of the DFT data and for plotting Figs. 2–4. A subsidiary dataset containing only the figure-plotting scripts and relevant input data is available on GitHub (https://github.com/kitmccoll/data-phase_segregation_nanoconfined_fluid_O2).

Acknowledgements

K.M. thanks Robert A. House (Oxford), Gregory J. Rees (Oxford), Andrey D. Poletayev (Oxford) and Alexander G. Squires (UCL) for valuable discussions

Funding

The authors thank the Faraday Institution CATMAT project (EP/S003053/1, FIRG016) for financial support and the Michael high-performance computing (HPC) facility (FIRG030). This work made use of the UK’s National Supercomputer through the HEC Materials Chemistry Consortium (EP/R029431) and the Isambard UK National Tier-2 HPC Service http://gw4.ac.uk/isambard/) operated by GW4 and the UK Met Office, funded by the EPSRC (EP/P020224/1). B.J.M. thanks the Royal Society for a fellowship (URF/R/191006).

FundersFunder number
Royal SocietyURF/R/191006
The Faraday InstitutionEP/S003053/1, FIRG016
Hopkins Population Center, Johns Hopkins UniversityEP/R029431, FIRG030
Engineering and Physical Sciences Research CouncilEP/P020224/1

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