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Record W2043660037 · doi:10.1088/0022-3727/44/8/085402

Structural deformations and current oscillations in armchair-carbon nanotube cross devices: a theoretical study

2011· article· en· W2043660037 on OpenAlexaff
Ali Kashefian Naieni, Parham Yaghoobi, Daniel James Woodsworth, Alireza Nojeh

Bibliographic record

VenueJournal of Physics D Applied Physics · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCarbon nanotubeNanotubeIntersection (aeronautics)Materials scienceNanoscopic scaleQuantum dotNanotechnologyDeformation (meteorology)Molecular dynamicsQuantumChemical physicsCondensed matter physicsPhysicsComposite materialQuantum mechanics

Abstract

fetched live from OpenAlex

A carbon nanotube (CNT) cross is a structure consisting of two CNTs with one draped over the other at an angle. Because of the localized mechanical deformation induced at the intersection point, the electronic properties of the nanotubes in a cross could vary significantly compared with those of intact nanotubes, potentially leading to the formation of nanoscale quantum dots. Using classical molecular dynamics, we determined the relaxed nanotube structures and the induced mechanical deformations in a CNT cross. We found that the final relaxed shape of the cross structure is relatively insensitive to the starting shape. We then calculated the electronic transport properties of this device using a first-principles, non-equilibrium Green's function approach. We obtained current oscillations that can be attributed to the formation of a nanoscale quantum dot in the top nanotube at the intersection region.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.784

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 head0.029
GPT teacher head0.286
Teacher spread0.257 · 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 designTheoretical or conceptual
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

Citations8
Published2011
Admission routes1
Has abstractyes

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