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Record W1973687984 · doi:10.1002/jnm.404

TLM‐based FDTD modelling of optical bistability

2001· article· en· W1973687984 on OpenAlexaff
T. Hruskovec, Zhizhang Chen

Bibliographic record

VenueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2001
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsDalhousie University
Fundersnot available
KeywordsFinite-difference time-domain methodBistabilityOptical bistabilityComputer scienceElectronic engineeringTime domainOpticsOptical switchPhysicsOptoelectronicsNonlinear opticsEngineering

Abstract

fetched live from OpenAlex

Abstract The TLM‐based FDTD method is extended to the modelling of optical bistability caused by the saturable Kerr‐effect of a GaAs–GaAsAl multiple quantum well (MQW) like medium. This structure is one of the possible candidates to be used as an all‐optical switch in high‐speed communication systems. The purpose of this paper is to demonstrate the capability of the TLM‐based FDTD method in handling the non‐linear medium problems, by performing a time‐domain simulation starting from the basic equations that represent the problem. A recursive formulation is derived to account for the saturable Kerr properties of the material and a physically realizable Fabry–Perot cavity is simulated. The numerical results confirm the effectiveness of the TLM‐based FDTD method for bistability modelling, and thus provide the foundations for further work and the simulation of more complicated and realistic bistable structures promising for high‐speed all‐optical digital signal processing. Copyright © 2001 John Wiley & Sons, Ltd.

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)0.000
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: none
Teacher disagreement score0.930
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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
Published2001
Admission routes1
Has abstractyes

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