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Record W2003895406 · doi:10.1149/2.003302jes

Effect of Microstructure and Temperature on Electrochemical Behavior of Niobium in Phosphate-Buffered Saline Solutions

2012· article· en· W2003895406 on OpenAlexafffund
Wei Wang, Akram Alfantazi

Bibliographic record

VenueJournal of The Electrochemical Society · 2012
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNiobiumMicrostructureMaterials scienceX-ray photoelectron spectroscopyAnalytical Chemistry (journal)Schottky diodeCorrosionSubstrate (aquarium)MetallurgyChemical engineeringChemistryOptoelectronics

Abstract

fetched live from OpenAlex

In this study, the corrosion behavior of Nb with different microstructures, cold-rolled and annealed, was studied in phosphate buffered saline (PBS) solutions in the temperature range of 37 to 67°C. The chemical composition and electronic properties of the passive film were investigated using X-ray photoelectron spectroscopy (XPS) and Mott-Schottky analysis. The results show that the annealed sample exhibits better corrosion resistance. Mott-Schottky analysis revealed that the passive films formed on niobium surfaces show n-type semiconductor behavior. The measured donor density is dependent on the frequency of the Mott-Schottky analysis, which can be eliminated by fitting the impedance data at different frequencies. The microstructure of the metal substrate affects the donor density of the passive film but not the flatband potential. No pitting or trans-passive behavior was observed for any samples up to 0.9 V and 67°C. No significant difference of the chemical composition was observed among the passive films formed at 0.35 V on different treated samples.

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 score0.001
Threshold uncertainty score0.411

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 integrity0.0000.001
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 head0.247
Teacher spread0.241 · 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

Citations32
Published2012
Admission routes2
Has abstractyes

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