MétaCan
Menu
Back to cohort
Record W2319516738 · doi:10.1021/jp5095799

Spin Filter Circuit Design Based on a Finite Single-Walled Carbon Nanotube of the Zigzag Type

2015· article· en· W2319516738 on OpenAlexaff
Oleksiy V. Khavryuchenko, Gilles H. Peslherbe, Frank Hagelberg

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2015
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsConcordia University
FundersOffice of Experimental Program to Stimulate Competitive Research
KeywordsZigzagCarbon nanotubeMaterials scienceSpin polarizationNanotubeCarbon nanotube quantum dotCarbon nanotube field-effect transistorDensity functional theoryConductivityCluster (spacecraft)NanotechnologyCondensed matter physicsElectrodeMolecular physicsComputational chemistryChemistryPhysicsVoltageQuantum mechanicsGeometry

Abstract

fetched live from OpenAlex

A complete circuit, consisting of a zigzag-edge single-walled carbon nanotube (zSWCNT) as a gate with attached transacetylene chains anchoring 2-mercaptopyridine residues as conducting junctions and gold clusters as electrodes, is investigated by density functional theory, with both plane-wave and atom-centered Gaussian bases. Spin polarization is found to be preserved in zSWCNTs upon covalent grafting of the conducting substituents, and spin conductivity is observed through the entire circuit. These findings are relatively insensitive to the zSWCNT diameter and the gold cluster size. This suggests that the present design may be an interesting candidate for a nanotube-based spin filter prototype.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0010.000
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 head0.024
GPT teacher head0.211
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry CSame topicMolecular Junctions and NanostructuresFrench-language works237,207