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Record W2607167016 · doi:10.14447/jnmes.v14i4.90

Structure and Electrochemical Performance of LiNi<sub>0.8</sub>Co<sub>0.15</sub>Al<sub>0.05</sub>O<sub>2</sub> Cathodes Before and After Treatment with Co<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> or AlPO<sub>4</sub> by <em>in situ</em> Chemical Method

2011· article· en· W2607167016 on OpenAlexvenueno aff
Yu-Rim Bak, Youngmin Chung, Jeong-Hun Ju, Moon-Jin Hwang, Youngil Lee, Kwang‐Sun Ryu

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsnot available
Fundersnot available
KeywordsCathodeCalcinationElectrochemistryMaterials scienceScanning electron microscopeCyclic voltammetryMetalCoatingChemical engineeringAnalytical Chemistry (journal)Nuclear chemistryChemistryNanotechnologyMetallurgyElectrodeChromatographyComposite materialCatalysisPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Co3(PO4)2 or AlPO4 coating layers were formed on the surface of LiNi0.8Co0.15Al0.05O2 cathode material by in situ chemical method and calcination at 700°C to improve the electrochemical cyclability and structural stability during charge-discharge process of the cathode. The structure and electrochemical properties of the pristine LiNi0.8Co0.15Al0.05O2 cathode materials and the metal phosphate coated-cathode materials were investigated by X-ray powder diffraction, scanning electron microscopy, particle size analysis, Brunauer-Emmett-Teller method, cyclic voltammetry, and galvanostatic charge-discharge test. Co3(PO4)2-LiNi0.8Co0.15Al0.05O2 and AlPO4- LiNi0.8Co0.15Al0.05O2 cathode showed the improved reversibility compared with the pristine cathode material. It is attributed to the structural stability of metal phosphate coated LiNi0.8Co0.15Al0.05O2. In particular, Co3(PO4)2-LiNi0.8Co0.15Al0.05O2 showed a more stable rate capability than the pristine LiNi0.8Co0.15Al0.05O2 and AlPO4-LiNi0.8Co0.15Al0.05O2 at high C-rate.

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)0.020
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
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 score0.040
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.006
Meta-epidemiology (narrow)0.0270.026
Meta-epidemiology (broad)0.0340.009
Bibliometrics0.0100.012
Science and technology studies0.0060.007
Scholarly communication0.0080.012
Open science0.0170.007
Research integrity0.0170.013
Insufficient payload (model declined to judge)0.0030.002

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 head0.010
GPT teacher head0.244
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2011
Admission routes1
Has abstractyes

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