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Record W2760894277 · doi:10.1149/2.0661713jes

Dissolution Kinetics of Pure Zinc: The Effect of Bulk Solution Concentration and Temperature Studied by the Lead-In Pencil Electrode Technique

2017· article· en· W2760894277 on OpenAlexaff
Davood Nakhaie, Edouard Asselin

Bibliographic record

VenueJournal of The Electrochemical Society · 2017
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsKineticsDissolutionZincElectrodePencil (optics)Lead (geology)ChemistryMaterials scienceAnalytical Chemistry (journal)Inorganic chemistryMetallurgyPhysical chemistryChromatographyOptics

Abstract

fetched live from OpenAlex

The lead-in pencil electrode technique was employed to study the dissolution kinetics of pure zinc in 0.01 M to 1.0 M perchlorate solution from 20–50°C. The limiting current density (ilim) during diffusion controlled dissolution and the transition potential (ET) between diffusion controlled and activation/ohmic controlled dissolution were measured. It was found that both ilim and ET decrease with decreasing bulk solution concentration, while the degree of supersaturation required for salt precipitation remained nearly constant. Increasing temperature increased the ilim and ET, whereas, the degree of supersaturation decreased with temperature. A model for anodic dissolution kinetics within the pit was used to interpret the effect of bulk solution concentration and temperature on ET. It was shown that for a constant temperature, resistance overpotential inside the pit governs the dissolution kinetics at various perchlorate concentrations, while the contribution of the corrosion potential for saturated pit solution and the IR drop within the pit determine the overall ET value at different temperatures.

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 score0.004
Threshold uncertainty score0.220

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 head0.007
GPT teacher head0.254
Teacher spread0.246 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

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