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Record W2020027504 · doi:10.1116/1.2721582

Growth and electrochemical properties of Li–Ni–Co–Al oxide films

2007· article· en· W2020027504 on OpenAlexaff
C.V. Ramana, Karim Zaghib, C. Julien

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsMaterials scienceScanning electron microscopeRaman spectroscopyPulsed laser depositionElectrochemistryMicrostructureAnalytical Chemistry (journal)ElectrodeLaser ablationDeposition (geology)Chemical engineeringThin filmNanotechnologyLaserMetallurgyChemistryComposite materialOptics

Abstract

fetched live from OpenAlex

Li Ni 0.8 Co 0.15 Al 0.05 O 2 films were grown by pulsed-laser deposition (PLD) in the temperature (Ts) range of 30–500°C and oxygen partial pressure (pO2) maintained in the range of 50–150mTorr. The grown films were characterized using x-ray diffraction (XRD), scanning electron microscopy (SEM), Raman spectroscopy (RS), and electrochemical measurements in order to understand their growth behavior, surface morphology, local chemical structure, and electrochemical properties. XRD, RS, and SEM measurements indicate that the growth and microstructure of PLD LiNi0.8Co0.15Al0.05O2 films are highly sensitive to the deposition temperature and reactive atmosphere during laser ablation. The fabrication conditions were optimized to produce device quality LiNi0.8Co0.15Al0.05O2 films for electrochemical applications. The charge-discharge profiles of cells using the PLD grown Li(Ni,Co,Al)O2 films as electrodes demonstrate their applicability in microbatteries. A stable capacity of 98μAh∕cm2μm was obtained in the potential range of 4.2–2.5V for LiNi0.8Co0.15Al0.05O2 films grown at 450°C.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.237
Teacher spread0.229 · 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.

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

Citations1
Published2007
Admission routes1
Has abstractyes

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