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Record W1988899176 · doi:10.1149/04520.0047ecst

Electrical Transport of Single- and Double-Walled Carbon Nanotubes Functionalized with Monovalent Phenyl Groups

2013· article· en· W1988899176 on OpenAlexafffund
Delphine Bouilly, Janie Cabana, Richard Martel

Bibliographic record

VenueECS Transactions · 2013
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSurface modificationCarbon nanotubeMaterials scienceAnnealing (glass)NanotechnologyElectrical resistivity and conductivityChemical engineeringComposite material

Abstract

fetched live from OpenAlex

We present a comprehensive study on the effect of monovalent functionalization on the electrical properties of carbon nanotubes, and discuss new strategies that combine extensive functionalization with good electrical conductivity. Many individual single- and double-walled carbon nanotubes (SWNTs and DWNTs) were characterized before and after functionalization with 4-bromophenyl grafts, and after defunctionalization by thermal annealing. Functionalization resulted in a reduction of the ON-state current by an order of magnitude or more in both metallic and semiconducting SWNTs. The OFF-state leak current increased by up to three orders of magnitude in semiconducting SWNTs. Graft bonding was reversible with a 770 K vacuum anneal, although some residual damage was left on the nanotube surface. Functionalization of DWNTs affected the outer wall similarly as for SWNTs, while the inner wall was left in pristine state. Functionalized-DWNTs devices can be operated through the inner wall with electrical performance as good as pristine SWNTs.

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 categoriesInsufficient payload (model declined to judge)
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 score0.012
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.209
Teacher spread0.196 · 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.

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

Citations2
Published2013
Admission routes2
Has abstractyes

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