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Record W2322520756 · doi:10.1021/jp303184q

Electronic and Structural Properties of BC<sub>3</sub> Nanotubes with Defects

2012· article· en· W2322520756 on OpenAlexaff
Seifollah Jalili, M. Akhavan, Jeremy Schofield

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2012
Typearticle
Languageen
FieldMaterials Science
TopicBoron and Carbon Nanomaterials Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsZigzagVacancy defectMaterials scienceNanotubeDensity functional theoryElectronic structureCarbon nanotubeCondensed matter physicsBand gapBoronElectronic band structureNanotechnologyChemical physicsComputational chemistryOptoelectronicsChemistryPhysicsGeometry

Abstract

fetched live from OpenAlex

Defects, which naturally occur in nanostructures such as nanotubes, have a profound effect on their structure and electronic properties, and it is important to include them in the computational studies involving these nanotubes. In this Article, density functional theory calculations are utilized to investigate the impact of topological Stone-Wales (SW) and vacancy defects on the structural and electronic properties of a zigzag BC 3 nanotube. It is demonstrated that the most stable state for a SW defect is the structure in which an axial C–C bond is rotated by 90°. For vacancies at carbon sites, two possible configurations are obtained that are both nonmagnetic, whereas vacancy at a boron site induces magnetization in the structure of nanotube. The reconstruction of the boron vacancy can produce different kinds of defect states in the band gap of a semiconducting BC 3 nanotube, which are studied using band structure and density of states diagrams.

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 score0.001
Threshold uncertainty score0.201

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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

Citations22
Published2012
Admission routes1
Has abstractyes

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