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<i>In situ</i>nanoscale mapping of the chemical composition of surfaces and 3D nanostructures by photoelectron spectromicroscopy

2008· article· en· W2115353720 on OpenAlexafffund
Fulvio Ratto, Stefan Heun, Oussama Moutanabbir, Federico Rosei

Bibliographic record

VenueNanotechnology · 2008
Typearticle
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
FundersJapan Society for the Promotion of ScienceFonds Québécois de la Recherche sur la Nature et les TechnologiesNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsNanoscopic scaleMaterials scienceNanostructurePhotoemission electron microscopyChemical imagingX-ray photoelectron spectroscopyTernary operationNanotechnologyIn situResolution (logic)Chemical compositionTernary alloyAlloyElectron microscopeChemical engineeringOpticsMetallurgyChemistryComputer scienceArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

We propose a novel approach to extract quantitative chemical maps of surfaces with nanoscale resolution, from the analysis of data from x-ray photoemission electron microscopy, which is a minimally invasive technique. Our formulation allows us to extract chemical maps from the raw data even in cases when not all experimental parameters are well known or controlled. We illustrate our concept by the analysis of a ternary alloy with a nanoscale pattern, to achieve chemical maps of unprecedented quality.

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 score0.005
Threshold uncertainty score0.524

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 studies0.0000.001
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 head0.228
Teacher spread0.223 · 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

Citations7
Published2008
Admission routes2
Has abstractyes

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