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Record W2317650228 · doi:10.1149/1.3496436

Review of Studies on Corrosion of Electrodeposited Nanocrystalline Metals and Alloys

2010· article· en· W2317650228 on OpenAlex
Nik Rozlin Nik Masdek, Akram Alfantazi

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanocrystalline materialCorrosionMaterials scienceMetallurgyCoatingElectrochemistryNanotechnologyChemistry

Abstract

fetched live from OpenAlex

Nanocrystalline materials are now gaining vast interest due to their outstanding physical, mechanical and chemical properties. Electrodeposition is an economical, reliable and viable technique in producing nanostructured materials as compared to other available methods. Recently, due to the high potential of nanocrystalline materials in anti-wear and corrosion resistance coating applications, the interest to develop better nanostructured materials as well as to improve the understanding of their corrosion behaviour has gained much attention. However, studies on the corrosion behaviour of electrodeposited nanocrystalline materials are rather limited. Hence, the corrosion performance of nanostructured materials in various electrochemical conditions will be addressed here. This review will provide a survey of existing literature on corrosion behaviour of electrodeposited nanostructured pure metals and its alloys as well as composites.

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 score0.093
Threshold uncertainty score0.429

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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