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Record W4362702468 · doi:10.1515/corrrev-2022-0108

<i>In-situ</i> visualization of hydrogen atom distribution at micro-indentation in a carbon steel by scanning Kelvin probe force microscopy

2023· article· en· W4362702468 on OpenAlexafffund
Yuan Li, Y. Frank Cheng

Bibliographic record

VenueCorrosion Reviews · 2023
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIndentationKelvin probe force microscopeMaterials scienceHydrogenAtom probeFerrite (magnet)Hydrogen embrittlementCarbon steelIn situAtom (system on chip)Hydrogen atomCrystallographyComposite materialMetallurgyAnalytical Chemistry (journal)Atomic force microscopyNanotechnologyMicrostructureChemistryCorrosion

Abstract

fetched live from OpenAlex

Abstract In this work, a scanning Kelvin probe force microscope was used to in-situ visualize distribution of hydrogen atoms at micro-indentation and metallurgical phases contained in a carbon steel. Topographic profiles and Volta potentials of the steel upon various times of hydrogen-charging were measured. The hydrogen atom distribution at the micro-indentation was analyzed. Results demonstrate that the micro-indentation can serve as a preferential site to accumulate hydrogen atoms. Particularly, the vertex of the indention shows the greatest hydrogen atom enrichment, while the indentation bottom possesses a slightly lower hydrogen atom concentration. More hydrogen atoms accumulate in ferrite than in pearlite in the steel.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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.

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
Published2023
Admission routes2
Has abstractyes

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