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Record W4379794689 · doi:10.1002/maco.202313769

The use of hydrogen in monitoring the anoxic corrosion of copper

2023· article· en· W4379794689 on OpenAlexafffundabout
Nicholas A. Senior, Taylor Martino, Peter Keech, W. Jeffrey Binns, Nikitas Diomidis, Christina Lilja

Bibliographic record

VenueMaterials and Corrosion · 2023
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsNuclear Waste Management OrganizationNatural Resources Canada
FundersSvensk KärnbränslehanteringNuclear Waste Management Organization
KeywordsCorrosionCopperOutgassingHydrogenAnoxic watersMetallurgyErosion corrosion of copper water tubesMaterials scienceThermal desorptionCladding (metalworking)DesorptionChemistryEnvironmental chemistryAdsorption

Abstract

fetched live from OpenAlex

Abstract Copper has been proposed as a corrosion barrier for used fuel containers due to its thermodynamic stability under the anoxic conditions relevant to a deep geological repository. Laboratory simulations of anticipated repository conditions have demonstrated the production of small quantities of hydrogen gas, which have been interpreted as being indicative of an oxidation (corrosion) process. This work reports new corrosion results for repository‐relevant materials: electrodeposited copper, cold spray copper and junction material under Canadian and Swiss simulated ground waters. The attribution of the recorded hydrogen suggests corrosion is limited to the outermost atomic layers of copper cladding. However, the origins of the hydrogen have not been conclusively determined. Three thermal desorption methods have been used to investigate the outgassing of hydrogen from electrodeposited copper which may permit a more accurate interpretation of the hydrogen evolution profile from corrosion cells.

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 score0.008
Threshold uncertainty score0.246

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 head0.051
GPT teacher head0.271
Teacher spread0.221 · 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

Citations3
Published2023
Admission routes3
Has abstractyes

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