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Record W4404872468 · doi:10.1016/j.jnucmat.2024.155554

The effect of proton irradiation on dealloying of Alloy 800 in an aqueous environment

2024· article· en· W4404872468 on OpenAlexaff
Maryam Rezvanian, Hooman Gholamzadeh, Kevin Daub, Fei Long, Mark R. Daymond, S.Y. Persaud

Bibliographic record

VenueJournal of Nuclear Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicNanoporous metals and alloys
Canadian institutionsQueen's University
Fundersnot available
KeywordsAlloyProtonIrradiationAqueous solutionRadiochemistryMaterials scienceChemistryMetallurgyNuclear chemistryNuclear physicsPhysicsPhysical chemistry

Abstract

fetched live from OpenAlex

• Alloy 800 is susceptible to dissolution of Fe and Cr in boiling caustic solution. • Selective dissolution results in a Ni-rich porous layer on Alloy 800. • Proton irradiation forms dislocation loops and elemental segregation in Alloy 800. • Proton irradiation defect production and segregation accelerate dealloying of Alloy 800. • The morphology and chemistry of the dealloyed layer formed is altered due to irradiation. The effect of prior proton irradiation on the subsequent corrosion and dealloying of Alloy 800 was investigated in a 50 wt. % NaOH caustic solution at 140 °C. Dealloying of irradiated (1 dpa) and non-irradiated Alloy 800 was characterized at the nanoscale to provide mechanistic insight. A porous surface film enriched in Ni was formed on both irradiated and non-irradiated materials due to selective dissolution of Fe and Cr. However, the microstructure and chemistry in the dealloyed layer was altered by irradiation, including deeper dealloyed layer penetration, finer porosity, and changes in the classical core-shell ligament structure in the irradiated material.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.246
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes1
Has abstractyes

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