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Record W4223419104 · doi:10.1002/smll.202200627

High‐Voltage Induced Surface and Intragranular Structural Evolution of Ni‐Rich Layered Cathode

2022· article· en· W4223419104 on OpenAlexaff
Hanshuo Liu, Zhong Xie, Wei Qu, Eben Sy Dy, Svetlana Niketic, Shawn Brueckner, Ken Tsay, Eric Fuller, Christina Bock, Nafiseh Zaker, Gianluigi A. Botton

Bibliographic record

VenueSmall · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsMcMaster UniversityNational Research Council Canada
Fundersnot available
KeywordsCathodeMaterials scienceElectrochemistryGrain boundaryChemical physicsChemical engineeringComposite materialElectrodeMicrostructureChemistry

Abstract

fetched live from OpenAlex

Abstract Layered Ni‐rich lithium transition metal oxides are promising cathode materials for high‐energy‐density lithium‐ion batteries. These cathodes, however, suffer from rapid performance decay under high‐voltage operation. In this work, the electrochemical properties and structural evolution of the LiNi 0.8 Mn 0.1 Co 0.1 O 2 (NMC811) cathode upon high‐voltage cycling are investigated. The results show that the NMC811 cathode not only experiences surface evolution with the formation of Li‐deficient rock‐salt layers, but also suffers from drastic intragranular structural changes inside bulk grains after high‐voltage cycling. Direct evidence for the formation of transition‐metal/Li disordering domains with uneven Li content and lattice plane distortion at the internal grains of 4.6 V‐cycled NMC811 are provided with their atomic ordering and spatial distribution clearly resolved. The complex intragranular structural changes impede Li + diffusion inside bulk material, resulting in kinetic limitation and capacity loss. The results demonstrate that the high‐voltage cycling would induce severe structural degradation at the grain interior of the cathode material beyond surface evolution, which contributes significantly to the rapid performance decay of the NMC811 cathode. The findings provide new insights for developing effective countermeasures to mitigate this degradation pathway.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.221
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations48
Published2022
Admission routes1
Has abstractyes

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