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Record W2419629887 · doi:10.1109/jlt.2016.2575002

Ultrafast Surface Plasmon III–V Photodetectors Based on Nanomonopoles

2016· article· en· W2419629887 on OpenAlexaff
Saba Siadat Mousavi, Andreas Stöhr, Pierre Berini

Bibliographic record

VenueJournal of Lightwave Technology · 2016
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPhotodetectorResponsivityMaterials scienceOptoelectronicsTerahertz radiationUltrashort pulseIndium gallium arsenideGallium arsenideSurface plasmonPlasmonBandwidth (computing)OpticsPhysicsTelecommunicationsLaser

Abstract

fetched live from OpenAlex

A nanoantenna-based plasmonic photodetector is proposed and investigated theoretically. An array of interconnected nanomonopoles on a film of InGaAs on n-doped InP is modeled. The infrared (~1550 nm) responsivity of the structure can reach ~200 mA/W for a 20-nm-thick InGaAs layer. The optimum 3-dB electrical bandwidth of the device is calculated to be ~1 THz for the case of a 20-nm-thick InGaAs layer and a 4 × 4 nanomonopole array. The electrical bandwidth is shown to increase by decreasing the number of elements in the array. A simple linear model for the total resistance of the structure is proposed and validated. The total resistance increases by increasing the thickness of the InGaAs layer and by decreasing the number of array elements.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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 designBench or experimental
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

Citations5
Published2016
Admission routes1
Has abstractyes

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