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Record W2080999650 · doi:10.1021/cm070147q

Anodic Electrodeposition of Nanocrystalline Coatings in the Mn−Co−O System

2007· article· en· W2080999650 on OpenAlexafffund
Weifeng Wei, Weixing Chen, Douglas G. Ivey

Bibliographic record

VenueChemistry of Materials · 2007
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanocrystalline materialMaterials scienceDeposition (geology)CoatingChemical engineeringGrain sizeMetallurgyOxidePhase (matter)MetalNanotechnologyChemistry

Abstract

fetched live from OpenAlex

Nanocrystalline coatings in the Mn−Co−O system have been anodically electrodeposited on ferritic stainless steel substrates from aqueous solutions. A range of Co/Mn compositions (20−65 atom % Co) can be deposited by adjusting the deposition parameters, i.e., solution temperature, metal ion concentration and current density. Electron microscopy analysis shows that the coatings are composed of numerous oxide grains (less than 10 nm in diameter), which have a metastable face center cubic (FCC) structure. The crystal structure of as-deposited coatings is not sensitive to deposition parameters. The effects of deposition parameters on coating morphology have also been investigated. Crack formation in Mn−Co−O coatings depends on process conditions, but is not related to phase structure, grain size, or even coating composition.

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)0.001
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 score0.005
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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

Citations34
Published2007
Admission routes2
Has abstractyes

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