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Record W2978900374 · doi:10.1103/physrevb.100.165104

<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>LiNiO</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> as a high-entropy charge- and bond-disproportionated glass

2019· article· lv· W2978900374 on OpenAlexaff
Kateryna Foyevtsova, Ilya Elfimov, Jörg Rottler, G. A. Sawatzky

Bibliographic record

VenuePhysical review. B./Physical review. B · 2019
Typearticle
Languagelv
FieldMaterials Science
TopicFerroelectric and Piezoelectric Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDisproportionationElementary chargeCharge (physics)CrystallographyCathodeMaterials sciencePhysicsChemistryPhysical chemistryQuantum mechanicsElectron

Abstract

fetched live from OpenAlex

Understanding microscopic properties of ${\mathrm{LiNiO}}_{2}$, a Li-ion battery cathode material with extraordinarily high reversible capacity, has remained a challenge for decades. Based on extensive electronic structure calculations, which reveal a large number of nearly degenerate phases involving the local Jahn-Teller effect as well as bond and oxygen-based charge disproportionation, we propose that ${\mathrm{LiNiO}}_{2}$ exists in a high-entropy charge-glass-like state at and below ambient temperatures. Recognizing the glassy nature of ${\mathrm{LiNiO}}_{2}$ not only explains its key experimental features, but also opens a path in designing entropy-stabilized battery cathodes with superb capacities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.443
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4430.293

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations36
Published2019
Admission routes1
Has abstractyes

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