2022
DOI: 10.1039/d2ta04262b
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Li trapping in nanolayers of cation ‘disordered’ rock salt cathodes

Abstract: Cation rearrangement during cycling of a Li1.1Mn0.7Ti0.2O2 cathode with a disordered rock-salt structure forms in situ a short-range ordered superstructure changing the connectivity of Li-migration channels and the electrochemical performance.

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Cited by 10 publications
(7 citation statements)
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“…In addition, the better Li + percolation in the spinel-like δ phase improves the rate performance and increases the capacity 39 . High-resolution STEM analysis indicates local variation in the extent of the δ phase ordering, which is likely closely linked to the non-uniform distribution of various TM species caused by cation SRO 27,[40][41][42] in the pristine DRX structure.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, the better Li + percolation in the spinel-like δ phase improves the rate performance and increases the capacity 39 . High-resolution STEM analysis indicates local variation in the extent of the δ phase ordering, which is likely closely linked to the non-uniform distribution of various TM species caused by cation SRO 27,[40][41][42] in the pristine DRX structure.…”
Section: Discussionmentioning
confidence: 99%
“…Compared to NMTP, the Na–O and Mn–O peaks of NMTVP show a shift to longer distance, while the Ti–O peak shift toward a shorter distance. [ 44–46 ]…”
Section: Resultsmentioning
confidence: 99%
“…The rules for SRO formation have not been fully elucidated. The ways of SRO pattern manifestation are various and closely related to the DRX material composition. Some high-valence d 0 cations, like Ti 4+ , Nb 5+ , and Mo 6+ , were found critical in promoting cation mixing and breaking SRO .…”
Section: Introductionmentioning
confidence: 99%
“…The electron diffraction technique could validate the existence of SRO on a larger scale yet only in a semiquantitative manner. , A method to quantitatively describe local structure variation throughout the global range is still needed. One means to hit this mark is the Monte Carlo (MC) supercell modeling combined with neutron pair distribution function (PDF) analysis, which contains abundant local structural information. , However, limited by computational expense, it is still challenging for this method to achieve robust large-scale statistical reliability, considering the current supercell size (several hundreds of atoms at maximum). Different from MC methods based on energy minimization, the reverse Monte Carlo (RMC) modeling method, directly analyzing the experimental total scattering data, , could describe local structure at both micro- and mesoscale.…”
Section: Introductionmentioning
confidence: 99%