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Record W2095270512 · doi:10.1063/1.4813081

Diameter dependence of polarization resolved reflectance from vertical silicon nanowire arrays: Evidence of tunable absorption

2013· article· en· W2095270512 on OpenAlexafffund
Mohammadreza Khorasaninejad, S. Patchett, Jia‐Tao Sun, N. O, Simarjeet S. Saini

Bibliographic record

VenueJournal of Applied Physics · 2013
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsDalsa CorporationUniversity of Waterloo
FundersOntario Ministry of Research and InnovationResearch and Innovation FoundationIndustry Canada
KeywordsNanowireMaterials scienceWavelengthPolarization (electrochemistry)SiliconAbsorption (acoustics)OpticsOptoelectronicsChemistry

Abstract

fetched live from OpenAlex

Vertical silicon nanowire arrays of different diameters ranging from 90 nm to 190 nm with a pitch of 400 nm are fabricated. Nanowires are arranged in a square lattice and have a length of 1 μm. Polarization resolved reflectances from these nanowire arrays are measured and significant differences are observed for the reflectance characteristics of the s- and p-polarized beams. A narrow wavelength band of increased absorption is reported by analyzing the reflectance using the finite difference time domain method. The center wavelength of this band shifts toward higher wavelengths as the diameter of the nanowires increases achieving tunable absorption spectra within the nanowires. The wavelength band shifts at a rate of approximately 3.3 nm with every 1 nm increment in diameter. The increased absorption is achieved due to modal excitation and near-field coupling between the nanowires.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · 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
Metaresearch0.0000.001
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)0.0010.000

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 head0.018
GPT teacher head0.232
Teacher spread0.214 · 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 designObservational
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

Citations17
Published2013
Admission routes2
Has abstractyes

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