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Record W2945622387 · doi:10.1002/pssa.201800933

In Situ AFM Analysis of Surface Electron Behaviors of Strain‐Free and Deformed Ferrite and Austenite in Duplex Steel and Their Correlation with Electron Work Function

2019· article· en· W2945622387 on OpenAlexafffund
Liqiu Guo, Lei Li, Qingyang Li, Wei Li, D. L. Chen, Dongyang Li

Bibliographic record

Venuephysica status solidi (a) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsToronto Metropolitan UniversityUniversity of Alberta
FundersScience and Engineering Research CouncilNatural Sciences and Engineering Research Council of CanadaSuncor Energy Incorporated
KeywordsAusteniteMaterials scienceIndentationFerrite (magnet)Work functionWork (physics)Duplex (building)In situElectronElectron microscopeComposite materialMetallurgyCondensed matter physicsThermodynamicsOpticsChemistryMicrostructureMetalPhysics

Abstract

fetched live from OpenAlex

Surface electron state and kinetic behavior as well as their spatial distributions strongly influence surface properties of microscopically inhomogeneous materials and related processes. Using a multi‐mode atomic force microscope, electron work functions and surface electrical currents of ferrite and austenite in duplex steel are in situ analyzed. Along with slightly higher work function, the austenite shows higher electrical conductance than ferrite, which is consistent with first‐principles calculations. Local plastic deformation introduced by micro‐indentation results in considerable changes. The current around indents on austenite slightly increases along with lowered work function, while that around the indent on ferrite increases significantly accompanied with lowered work function. Efforts are made to understand mechanisms for the observed phenomena.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.239
Teacher spread0.235 · 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 designObservational
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
Published2019
Admission routes2
Has abstractyes

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