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Record W2014915598 · doi:10.1109/jphot.2012.2213077

A Rigorous Circuit Model for Simulation of Large-Scale Photonic Integrated Circuits

2012· article· en· W2014915598 on OpenAlexaff
Wei‐Ping Huang, Lin Han, Jianwei Mu

Bibliographic record

VenueIEEE photonics journal · 2012
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputer sciencePhotonic integrated circuitScalabilityEquivalent circuitPhotonicsElectronic engineeringNetwork analysisCircuit extractionElectronic circuitFinite-difference time-domain methodComputer simulationIntegrated circuitElectronic circuit simulationPhysicsElectrical engineeringSimulationOpticsVoltageEngineering

Abstract

fetched live from OpenAlex

A rigorous circuit model for the simulation of large-scale photonic integrated circuit (PIC) is proposed and validated. Different from the conventional circuit theory, both guided and radiation fields are taken into consideration in the circuit model. A PIC of arbitrary size and complexity is partitioned into a collection of basic circuit elements interconnected via physical and virtual ports. The model parameters describing the terminal properties of the circuit elements are extracted by numerical techniques for photonic device simulation such as FDTD method. The performance of the entire PIC can be simulated by conventional circuit simulation algorithms based on the complex scattering matrix formalism. In contrast with the existing numerical simulation techniques, the circuit model and the simulation methodology are more flexible, efficient, and scalable for the analysis of large-scale PICs.

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 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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.927

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 head0.029
GPT teacher head0.271
Teacher spread0.241 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations12
Published2012
Admission routes1
Has abstractyes

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