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Record W2287985755 · doi:10.1115/1.4031036

Microstructural Effects on the Oxidation Behavior of Alloy 800HT in Supercritical Water

2015· article· en· W2287985755 on OpenAlexafffund
Hamed Akhiani, Majid Nezakat, Sami Penttilä, Jerzy A. Szpunar

Bibliographic record

VenueJournal of Nuclear Engineering and Radiation Science · 2015
Typearticle
Languageen
FieldEngineering
TopicSubcritical and Supercritical Water Processes
Canadian institutionsUniversity of Saskatchewan
FundersAcademy of FinlandNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSupercritical fluidMaterials scienceAlloyGrain boundaryGrain sizeOxideMetallurgyCladding (metalworking)MicrostructureThermodynamics

Abstract

fetched live from OpenAlex

Alloy 800HT is one promising candidate for use as a fuel cladding material in supercritical water-cooled rectors. In the present study, specific thermomechanical processing (TMP) was used to study the effects of grain size and grain boundary character distribution (GBCD) on the oxidation behavior of alloy 800HT in supercritical water (SCW). The processed samples were exposed to SCW at 600°C and 25 MPa for 100, 300, and 1000 h. The results showed that grain size and grain boundaries are important factors that affect the oxidation behavior of alloy 800HT in SCW. We also found that TMP improves the adhesion and integrity of the oxide scale.

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)0.000
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 score0.083
Threshold uncertainty score0.146

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.010
GPT teacher head0.221
Teacher spread0.210 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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