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Record W2027961180 · doi:10.1039/b925927a

Enhancement of structural and charge-transfer barrier properties of n-alkanethiol layers on a polycrystalline copper surface by electrochemical potentiodynamic polarization

2010· article· en· W2027961180 on OpenAlexaff
Željka Petrović, Mirjana Metikoš‐Huković, Jeffrey Harvey, Sasha Omanovic

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsMcGill University
Fundersnot available
KeywordsCrystalliteElectrochemistryCopperWettingPolarization (electrochemistry)Chemical engineeringMaterials scienceAbsorption spectroscopyChemistryAnalytical Chemistry (journal)Inorganic chemistryElectrodeCrystallographyPhysical chemistryComposite materialOpticsOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

A method that significantly improves the charge-transfer barrier properties of self-assembled n-alkanethiol films on polycrystalline copper is presented in this paper. Chemically-formed films were further modified electrochemically by repetitive potentiodynamic cycling in ethanolic solutions containing small quantities of n-alkanethiols. The polarization modulation infrared reflection absorption spectra (PM-IRRAS) of the electrochemically-modified thiol films showed an increase in their surface packing density and structure order in comparison to those which were chemically formed. The electrochemical impedance spectra (EIS) revealed that the ability of these films to maintain barrier properties upon exposure to corrosive environments depends directly on their chemical and structural properties, which also influenced the wettability of the surface. Electrochemically-modified thiol films offer superior charge-transfer barrier properties over chemically-formed films.

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)0.000
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 score0.002
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.006
GPT teacher head0.217
Teacher spread0.211 · 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

Citations15
Published2010
Admission routes1
Has abstractyes

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