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Record W2069876644 · doi:10.1021/jp0732561

Surface Free Energy of Cubic Boron Nitride Films Deposited on Nanodiamond

2007· article· en· W2069876644 on OpenAlexaff
A. Spiesser, Y.M. Chong, Kmy Leung, G. Abel, G.G. Ross, Mary Jane Walzak, R. Jacklin, Woon‐Ming Lau, Wenjun Zhang, I. Bello

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2007
Typearticle
Languageen
FieldMaterials Science
TopicDiamond and Carbon-based Materials Research
Canadian institutionsInstitut National de la Recherche ScientifiqueWestern University
Fundersnot available
KeywordsBoron nitrideMaterials scienceNanodiamondSurface roughnessSurface energyChemical vapor depositionThin filmSputter depositionContact angleSurface finishComposite materialSputteringNanotechnologyDiamond

Abstract

fetched live from OpenAlex

Thin and thick cubic boron nitride (cBN) films were grown on nanodiamond (nanoD), using radio-frequency magnetron sputtering and plasma-enhanced chemical vapor deposition. The chemical composition of the cBN surface layer was nearly stoichiometric, which yielded an essentially pure cubic phase. The root-mean-square roughness of the nanoD and cBN films varied from 4 to 37.5 nm, depending on the pretreatment, method of deposition, and film thickness. The surface free energy of the cBN films with respect to the nanoD was determined by the contact angle measurements. The surface free energy was affected by surface roughness, but the surface energy of nanodiamond was always slightly higher than that of cBN films. This relationship between the surface free energies has important implications for material compatibility and possible local heteroepitaxial growth of cBN on nanoD.

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 score0.003
Threshold uncertainty score0.385

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 integrity0.0000.000
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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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

Citations16
Published2007
Admission routes1
Has abstractyes

Explore more

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