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Record W4309971504 · doi:10.1149/1945-7111/aca07e

The Effect of Temperature on Dealloying Mechanisms in Molten Salt Corrosion

2022· article· en· W4309971504 on OpenAlex
Touraj Ghaznavi, S.Y. Persaud

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

VenueJournal of The Electrochemical Society · 2022
Typearticle
Languageen
FieldMaterials Science
TopicNanoporous metals and alloys
Canadian institutionsQueen's UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity Network of Excellence in Nuclear Engineering
KeywordsMolten saltCorrosionMaterials scienceGrain boundaryDiffusionAqueous solutionMetallurgyIsotropyChlorideMicroporous materialChemical engineeringDissolutionChemical physicsMicrostructureThermodynamicsComposite materialChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The mechanism of molten salt corrosion of Ni− and Fe-based model alloys is studied at different homologous temperatures relevant to molten salt nuclear reactor application. Dealloying of Fe and Cr occurs in molten chloride salts in the range of 350 °C–700 °C and the dealloying parting limit depends on temperature. At 350 °C, molten salt dealloying is similar to aqueous systems; surface diffusion of elemental Ni at the solid/electrolyte interface is the governing transport mechanism, and the microporous ligaments have an isotropic morphology. The high surface mobility of Ni blurs the ordinary parting limit concept, but such a limit is still present. Above 500 °C, grain boundary dealloying is prevalent; the governing mechanism is interface-controlled, but a transitional morphology evolves, signaling a role of lattice diffusion. When the temperature exceeds 600 °C, the crystal orientation of dealloyed substrates is no longer that of their parent grain, and the fairly isotropic nature of dealloying shifts to a more one-dimensional corrosion ahead of the dealloying front that indicates some kind of hybrid mechanism. At 700 °C, the dealloying threshold approaches below 22 at%, accompanied by rapid coarsening and densification of the dealloyed material due to strong influence of lattice diffusion of alloying elements.

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)0.002
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 score0.002
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.004
GPT teacher head0.219
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