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Record W2051814773 · doi:10.1088/0957-4484/21/9/095707

Nanobubble-assisted formation of carbon nanostructures on basal plane highly ordered pyrolytic graphite exposed to aqueous media

2010· article· en· W2051814773 on OpenAlexfundno aff
Pavel Janda, Otakar Frank, Zdenĕk Bastl, Mariana Klementová, Hana Tarábková, Ladislav Kavan

Bibliographic record

VenueNanotechnology · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGraphene research and applications
Canadian institutionsnot available
FundersMitacsCanada Research Chairs
KeywordsMaterials sciencePyrolytic carbonBasal planeGraphiteAqueous solutionHighly oriented pyrolytic graphiteChemical engineeringCarbon fibersAqueous mediumNanostructureNanotechnologyComposite materialOrganic chemistryCrystallographyPyrolysis

Abstract

fetched live from OpenAlex

Ambient gas nanobubbles of size approximately 10(1)-10(2) nm occupying the hydrophobic surface of basal plane highly ordered pyrolytic graphite (HOPG) immersed in aqueous media at room temperature cause exfoliation of the top graphene layers, as revealed by both in situ and ex situ atomic force microscope (AFM) imaging. The formation of nanoparticles composed mostly from graphene-based nanoscrolls, nanohorn-like and onion-like nanostructures was resolved by high resolution transmission electron microscopy (TEM) and examined by diffraction and x-ray photoelectron spectroscopy (XPS) analyses. The diameter of nanostructures varied from about 5 nm for single-layered scrolls to tens of nanometres for multishells. Raman spectroscopy confirmed the structural rearrangement of the HOPG basal plane after the above-mentioned treatment. The implications for nanobubble interfacial forces are discussed.

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 score0.006
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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

Citations32
Published2010
Admission routes1
Has abstractyes

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