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Record W2035916739 · doi:10.1103/physrevb.69.115401

Current distribution in B- and N-doped carbon nanotubes

2004· article· en· W2035916739 on OpenAlexaff
Yi Liu, Hong Guo

Bibliographic record

VenuePhysical Review B · 2004
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsMcGill University
Fundersnot available
KeywordsCarbon nanotubeImpurityMaterials scienceBoronDopingCarbon fibersCurrent (fluid)NanotubeAtom (system on chip)Condensed matter physicsDensity functional theoryNitrogenChemical physicsAtomic physicsNanotechnologyComputational chemistryPhysicsOptoelectronicsChemistryThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

Using density functional theory and Keldysh nonequilibrium Green's functions, we investigate electron current density distribution in molecular electronic devices. In particular, we present the current distribution in pristine (5,5) armchair carbon nanotube as well as in nanotubes with substitutional doping of boron and nitrogen impurity atoms. The presence of impurity breaks the uniformity of current distribution around the carbon rings. For the more electronegative impurity of nitrogen, the current density is attracted toward the side of the tube where the N atom is located; but for the less electronegative impurity of boron, the opposite happens. Accordingly there appears a chiral flow of current in the B- and N-doped armchair nanotube near the impurity.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.842
Threshold uncertainty score0.218

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)0.0000.000

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 head0.007
GPT teacher head0.251
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 designOther design
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

Citations37
Published2004
Admission routes1
Has abstractyes

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