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Record W2528048153 · doi:10.1002/pssb.201600266

Effect of bending on the molecular transport along carbon nanotubes

2016· article· en· W2528048153 on OpenAlexaff
M. M. Rahman, M. M. Chowdhury, M. G. Rosul, Md. Kawsar Alam

Bibliographic record

Venuephysica status solidi (b) · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNanotubeCarbon nanotubeMaterials scienceMolecular dynamicsFullereneChemical physicsNanotechnologyBendingCarbon nanotube quantum dotCurvatureOscillation (cell signaling)Composite materialComputational chemistryChemistryGeometryOrganic chemistry

Abstract

fetched live from OpenAlex

The effect of bending on the molecular transport and oscillation of carbon nanotube–fullerene‐based systems is investigated using molecular dynamics simulations. It is known that single‐walled carbon nanotubes demonstrate gradual buckling phenomenon under bending strain. In this work, we investigate the limit of bending curvature for successful transport of fullerene along a carbon nanotube for nanotube–fullerene‐based systems. We also analyze the behavior of nanotube transport through another nanotube for nanotube–nanotube‐based systems. The dependence of transport characteristics on the atomicity of the inner nanotube is also investigated in this regard. In addition, the effect of the outer nanotube's diameter and surface smoothness on the oscillation stability in relation to the oscillation property of the inner molecules has been studied for both systems.

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 score0.007
Threshold uncertainty score0.546

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 head0.245
Teacher spread0.238 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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