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Record W2046133867 · doi:10.1117/12.566468

Time domain simulation of photonic crystals using the transmission line matrix method

2004· article· en· W2046133867 on OpenAlexaff
G. Romo, T. Smy

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsFinite-difference time-domain methodPhotonic crystalTransmission-line matrix methodPolygon meshComputer scienceTransmission lineComputationGridPlane wave expansionComputational scienceMatrix (chemical analysis)Transmission (telecommunications)Plane wave expansion methodElectronic engineeringAlgorithmComputational electromagneticsOpticsMaterials scienceMathematicsPhysicsTelecommunicationsGeometryEngineering

Abstract

fetched live from OpenAlex

This paper presents the transmission line matrix method (TLM) as an alternative efficient simulation tool for the analysis of photonic crystals (PCs). The paper describes important aspects for the computation of the photonic band structures of infinitely periodic PCs within the formulation of the TLM method. In addition, we propose two methods for reducing the computational effort involved in the simulations of PCs. One method is based on a real-valued implementation of the periodicity (Bloch) condition, and the other one is based on the use of a multi-grid mesh. Depending on the physical geometry of the crystal, computational savings of over 50% can be easily achieved. The advantages and limitations of these methods are described. Given the popularity of the finite differences time domain (FDTD) method for the simulation of PCs, we briefly compare the performance of the TLM method with that of the FDTD and show that under various circumstances, the use of the TLM method can be advantageous. The suitability of the TLM method to handle PCs with more general material properties such as frequency dependent metals and semiconductors is also demonstrated. Finally, we validate these simulation aspects of the TLM method by simulating various photonic crystals composed of dielectric, metallic and semiconducting materials using uniform and multi-grid meshes. The results are compared with those predicted by alternative methods such as the plane wave expansion method for verification.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicElectromagnetic Simulation and Numerical MethodsFrench-language works237,207