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Record W2017797626 · doi:10.1109/jqe.2002.807185

Design of deeply etched antireflective waveguide terminators

2003· article· en· W2017797626 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

VenueIEEE Journal of Quantum Electronics · 2003
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsMcMaster University
FundersNanjing University
KeywordsAnti-reflective coatingOpticsTransfer-matrix method (optics)Materials scienceWaveguideEtching (microfabrication)ComputationFinite difference methodFinite-difference time-domain methodBoundary value problemGratingOptoelectronicsPerfectly matched layerInterference (communication)Computer scienceLayer (electronics)PhysicsTelecommunicationsAlgorithm

Abstract

fetched live from OpenAlex

An alternative solution to achieve an antireflective waveguide terminator is proposed by adopting a deeply etched waveguide structure to replace the conventional facet interference coatings. The performance is evaluated by different numerical approaches and optimum designs can be achieved based on the combination of the finite-difference time-domain method and the transfer matrix method. Perfectly matched layer absorbing boundary conditions are employed and pre-optimized in order to eliminate any nonphysical reflections due to the computation window introduced artificially. Results show that a power reflectivity of less than 5.0×10/sup -3/ over almost the entire C-band with a minimum value as low as 1×10/sup -5/ can be achieved. The effects on etching with a tilted angle and etching with finite depth are also studied.

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: none
Teacher disagreement score0.568
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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