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Record W2121372910 · doi:10.1049/iet-cds.2010.0142

All-optical logic gate in silicon nanowire optical waveguides

2011· article· en· W2121372910 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

VenueIET Circuits Devices & Systems · 2011
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNanowireWaveguideMaterials scienceOptoelectronicsOptical switchSilicon photonicsOptical computingOpticsRaman scatteringLogic gateSiliconPhysicsRaman spectroscopyElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

In this study, the authors propose a novel optical waveguide consisting of arrays of silicon nanowires (SiNWs) in close proximity for applications to all-optical logic operations. The logic operations are based on two non-linear phenomena, stimulated Raman scattering (SRS) and free carrier absorption (FCA). Since, the SRS coefficient is increased in the nanowire regime, the performance of the optical logic gates in terms of optical power required can be improved by a factor of at least 7 using our proposed waveguides. The advantage of the proposed waveguide is that it allows for increased photon-carrier interactions while keeping the optical confinement factor high even when the individual nanowire diameters are less than 100 nm. We analyse the waveguides using the finite-difference time domain method and show that the radiation loss is less than 0.034 cm−1. Further, the waveguide allows for optical guidance even when the nanowires are randomly arranged. We also show a maskless etch method to create SiNWs with dimensions required to create our proposed waveguide structure.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.001

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 head0.038
GPT teacher head0.237
Teacher spread0.199 · 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