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Record W2045897702 · doi:10.1080/09500830701771939

Nanocrystallization effect on the surface electron work function of copper and its corrosion behaviour

2008· article· en· W2045897702 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhilosophical Magazine Letters · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPassivationCorrosionMaterials scienceGrain boundaryCopperGrain sizeDissolutionNanometreMetallurgyWork functionElectronComposite materialChemical engineeringMicrostructureMetalLayer (electronics)

Abstract

fetched live from OpenAlex

The effect of grain size at micro- and nanoscale on the surface electron stability of copper as reflected by the electron work function (EWF) was investigated. In the ambient environment, the surface reactivity increases with decreasing grain size in the micron range, but decreases when entering the nanometre range. When in a solution with associated passivation, grain refinement enhances resistance to corrosion. However, the situation is reversed when no passivation is involved. In the former case, the improved surface stability and corrosion behaviour caused by nanocrystallization can be attributed to the formation of a more protective passive film. In the latter case, nanocrystallization accelerates material dissolution resulting from enhanced activity of surface electrons at high-density grain boundaries. The correlation between EWF and the corrosion behaviour, as well as the mechanisms involved, are discussed.

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.

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 score0.028
Threshold uncertainty score0.543

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 head0.020
GPT teacher head0.235
Teacher spread0.215 · 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