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Record W2029025467 · doi:10.1051/epjap/2014140246

The role of Ar flow rates on synthesis of nanostructured zirconium nitride layer growth using plasma enhanced hot filament nitriding (PEHFN) technique

2014· article· en· W2029025467 on OpenAlexaff
Uzma Ikhlaq, Akira Hirose, Riaz Ahmad, Amir Ikhlaq, Sehrish Saleem, Ramaswami Sammynaiken, Chunzi Zhang, Jason Malley

Bibliographic record

VenueThe European Physical Journal Applied Physics · 2014
Typearticle
Languageen
FieldEngineering
TopicMetal and Thin Film Mechanics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsZirconium nitrideNitridingMaterials scienceZirconiumArgonScanning electron microscopeNitrideCrystalliteSputteringAnalytical Chemistry (journal)Layer (electronics)Protein filamentMetallurgyThin filmNanotechnologyComposite materialChemistryTitanium nitrideChromatography

Abstract

fetched live from OpenAlex

The effects of nonreactive sputter gas (argon) flow rates on the surface properties of zirconium are investigated in argon-nitrogen admixture (60 sccm) using dc plasma enhanced hot filament nitriding (PEHFN) technique. The nitrided specimens are analyzed using X-ray diffractometry (XRD), scanning electron microscopy (SEM), atomic force microscopy (AFM) and nano hardness tester to study their surface properties. Phase analysis (XRD) confirms the development of o-Zr3N4 phase for all exposure conditions. Crystallite size analysis using XRD and AFM morphology confirms the growth of nanostructured zirconium nitride layers. Considerable enhancement in hardness is found when the sample is treated for 40 sccm argon in the admixture Ar:N2 (60 sccm).

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 score0.052
Threshold uncertainty score0.769

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 science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.195
Teacher spread0.186 · 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

Citations10
Published2014
Admission routes1
Has abstractyes

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