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Record W2064053022 · doi:10.1109/tthz.2015.2396296

Terahertz Polarization Properties of Free-Standing Millimeter-Scale Carbon Nanotube Array Sheets Cut With Femtosecond Laser Pulses

2015· article· en· W2064053022 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Terahertz Science and Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicTerahertz technology and applications
Canadian institutionsUniversity of TorontoUniversity of Alberta
FundersDivision of Materials ResearchNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceTerahertz radiationPolarizerCarbon nanotubeFemtosecondTransmittanceLaserOpticsOptoelectronicsMillimeterTerahertz spectroscopy and technologyExtinction ratioPolarization (electrochemistry)WavelengthNanotechnologyBirefringence

Abstract

fetched live from OpenAlex

Vertically-aligned millimeter-scale multiwall carbon nanotube arrays (CNTAs) grown by catalytic chemical vapour deposition were cut by femtosecond laser pulses into thin free-standing sheets of aligned carbon nanotubes. Terahertz (THz) time-domain spectroscopy was used to measure the polarization dependence of the transmittance of the CNTA sheets from 0.5-2.2 THz. CNTA sheets with thicknesses of 40 μm and 150 μm showed high extinction ratios at 1 THz of 25 dB and dB, respectively. Furthermore, the transmittance of the 40 μm CNTA sheet for THz polarization parallel to the carbon nanotubes decreased with increasing frequency, resulting in an extinction ratio of 34 dB at 2 THz exceeding that of a commercial wire-grid polarizer. The potential of laser-cut free-standing CNTA sheets as terahertz polarizers is discussed.

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.

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 score0.094
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.198
Teacher spread0.185 · 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