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Record W4393012220 · doi:10.26434/chemrxiv-2024-79nbz

Distinguishing Bulk Redox from Near-Surface Degradation in Lithium Nickel Oxide Cathodes

2024· preprint· en· W4393012220 on OpenAlexafffund
Robert S. Weatherup, Lijin An, Jack E. N. Swallow, Peixi Cong, Ruomu Zhang, Andrey D. Poletayev, Erik Björklund, Pravin N. Didwal, Michael Fraser, Leanne A. H. Jones, Conor Phelan, Namrata Ramesh, Grant Harris, Christoph J. Sahle, Pilar Ferrer, David C. Grinter, Peter Bencok, Shusaku Hayama, M. Saïful Islam, Robert A. House, Peter D. Nellist, Robert J. Green, Rebecca J. Nicholls

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsUniversity of British ColumbiaUniversity of Saskatchewan
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsEngineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaEuropean CommissionRoyal Academy of EngineeringEuropean Synchrotron Radiation FacilityUK Research and InnovationDiamond Light Source
KeywordsDegradation (telecommunications)NickelRedoxLithium (medication)CathodeNickel oxideMaterials scienceOxideMetallurgyChemistryComputer sciencePsychologyTelecommunicationsPhysical chemistry

Abstract

fetched live from OpenAlex

Ni-rich layered cathodes deliver high energy densities, but uncertainties remain about their charge compensation mechanisms and the degradation processes that limit their cycle life. Recent studies have identified trapped molecular O2 within LiNiO2 at high states of charge, as seen for Li-rich cathodes where excess capacity is associated with reversible O2−/O2 redox. Here we show that bulk redox in LiNiO2 occurs by Ni-O rehybridization, lowering the electron density on O sites, but without significant involvement of molecular O2. Trapped O2 is predominantly associated with surface degradation through contact with the electrolyte, and is accompanied by Ni reduction. O2 is removed on discharge, but an excess of Ni2+ remains forming a reduced surface layer that impedes Li transport. Our findings highlight the importance of separating bulk redox from near-surface degradation, and implicate the instability of delithiated LiNiO2 in contact with the electrolyte in surface degradation through O2 formation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.002
Research integrity0.0010.003
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 head0.028
GPT teacher head0.286
Teacher spread0.258 · 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.

Study designSimulation or modeling
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

Citations3
Published2024
Admission routes2
Has abstractyes

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