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Record W1986621416 · doi:10.1364/josab.29.002116

Thin chalcogenide capillaries as efficient waveguides from mid-infrared to terahertz

2012· article· en· W1986621416 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.

Bibliographic record

VenueJournal of the Optical Society of America B · 2012
Typearticle
Languageen
FieldMaterials Science
TopicPhase-change materials and chalcogenides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTerahertz radiationCapillary actionOpticsMaterials scienceInfraredChalcogenideTotal internal reflectionOptoelectronicsChalcogenide glassThin filmFresnel equationsWaveguideRefractive indexPhysicsNanotechnology

Abstract

fetched live from OpenAlex

We show that chalcogenide glass As38Se62 capillaries can act as efficient waveguides in the whole mid-infrared–terahertz (THz) spectral range. The capillaries are fabricated using a double crucible drawing technique. This technique allows to produce glass capillaries with wall thicknesses in the range of 12 to 130 μm. Such capillaries show low-loss guidance in the whole mid-IR–THz spectral range. We demonstrate experimentally that low-loss guidance with thin capillaries involves various guidance mechanisms, including Fresnel reflections at the capillary inner walls, resonant guidance (ARROW type) due to light interference in the thin capillary walls, as well as total internal reflection guidance where very thin capillary walls act as a subwavelength waveguide, which is especially easy to observe in the THz spectral range.

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)0.001
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 score0.033
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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