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Design and Optimization of pn Junctions in Silicon Microdisk Modulators

2019· article· en· W3009606685 on OpenAlex
Dusan Gostimirovic, Winnie N. Ye

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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNeural Networks and Reservoir Computing
Canadian institutionsCarleton University
Fundersnot available
KeywordsResonatorModulation (music)OptoelectronicsMaterials scienceSiliconSilicon photonicsFabricationPhotonicsBlock (permutation group theory)Photonic integrated circuitPower (physics)OpticsPhysics

Abstract

fetched live from OpenAlex

An optoelectronic modulator is a key building block in silicon photonic telecommunication circuits. The dominant modulation mechanism uses free-carrier depletion in microring resonators, for its combined advantages of high speed, low power, low spatial footprint, and low fabrication cost and complexity. Recent advancements show that a microdisk modulator, with its pn junction oriented vertically, achieves a larger modulation efficiency due to the stronger interaction with the resonant optical mode. In this work, we verify and compare the simulated performance of metaheuristically optimized lateral and vertical pn junction microdisk modulators that are otherwise identical. We also present two new configurations: The double vertical and staggered double vertical pn junction microdisk modulators. Both of these exhibit stronger mode-junction interactions and greater modulation efficiencies than the state-of-the-art designs.

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)0.000
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 score0.597
Threshold uncertainty score0.156

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 integrity0.0000.000
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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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