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Record W2076284000 · doi:10.1117/12.646385

Analysis of a surface-normal coupled-quantum-well modulator at 1.55 um

2006· article· pt· W2076284000 on OpenAlexaff
Z. Q. Li, Alfred K. M. Lam, Z. Simon Li

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languagept
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsCrosslight Software (Canada)
Fundersnot available
KeywordsElectro-absorption modulatorWavelengthAbsorption (acoustics)DiodePhysicsSpectral lineElectronQuantum wellOptoelectronicsBiasingAbsorption spectroscopyQuantumVoltageComputational physicsAtomic physicsOpticsQuantum mechanicsQuantum dot laserSemiconductor laser theory

Abstract

fetched live from OpenAlex

We report on the design and analysis of a surface-normal coupled-quantum-well (CQW) electro-absorption modulator (EAM) using a simulation software APSYS. The modulator is designed as a p-i-n diode operating at 1.55 um, in which the CQW structure is composed of InGaAs-InAlAs. In this paper, detailed analysis of the internal device physics is investigated, which includes the transition energy and the square of the normalized overlap integrals between confined energy levels for electrons and holes. This analysis reveals the mechanisms in the device that are responsible for the redshift of the absorption spectra for achieving an operating wavelength at 1.55 um, which, in turn, provides researchers with insight in the high performance modulators design. The analysis also explains the dependence of the absorption spectra on wavelength and bias voltage. The simulation model self-consistently solves for wavefunctions and the corresponding quantum states energies and then used for absorption spectra calculations within the 2D/3D drift-diffusion framework.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.224
Teacher spread0.216 · 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.

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
Published2006
Admission routes1
Has abstractyes

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