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Record W4401953210 · doi:10.1149/1945-7111/ad6cbc

A 2-D Reaction-Transport Model for Investigating Pit Morphology Under the Influence of a Salt Film

2024· article· en· W4401953210 on OpenAlexfundno aff
Van Anh Nguyen, Roger Newman, Nicholas Laycock

Bibliographic record

VenueJournal of The Electrochemical Society · 2024
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaQatar National Research FundUniversity Network of Excellence in Nuclear Engineering
KeywordsMorphology (biology)Salt (chemistry)Materials scienceChemical engineeringMineralogyChemistryGeologyEngineeringPhysical chemistryPaleontology

Abstract

fetched live from OpenAlex

A 2-D reaction transport model with the phase field method was employed here to simulate the propagation stage of corrosion pitting in stainless steels in a chloride environment. The influence of the salt film on pitting dissolution kinetics was incorporated into the model to study its effect on the pit morphology under various settings. In potentiostatic conditions, the pit morphology tends toward a dish-like shape due to the presence of the salt film inside a corrosion pit. This leads to diffusion-controlled dissolution at the pit bottom and active dissolution near the pit mouth. On the contrary, in galvanostatic conditions and at a high applied current, although the salt film was initially present, its effect diminished as the chemistry inside the pit became diluted and the pit growth transitioned into active dissolution near the repassivation current. This effect is attributed to the limited resources to support the enlargement of a corrosion pit under constant applied current. As a result, the pit morphology in galvanostatic conditions is likely to be hemispherical and can transition into complex morphology, as discussed in a previous paper.

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 score0.032
Threshold uncertainty score0.181

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 head0.019
GPT teacher head0.273
Teacher spread0.254 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

Explore more

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