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Record W2035019707 · doi:10.1088/0268-1242/19/3/026

High responsivity, dual-band response and intraband avalanche multiplication in InGaAs/InP quantum well photodetectors

2004· article· en· W2035019707 on OpenAlex

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

VenueSemiconductor Science and Technology · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsInstitute for Microstructural Sciences
FundersMinistry of DefenseAlexander von Humboldt-Stiftung
KeywordsResponsivityPhotodetectorOptoelectronicsInfraredQuantum well infrared photodetectorQuantum wellAvalanche photodiodeMaterials scienceElectronPhysicsImpact ionizationIonizationOpticsDetectorLaserQuantum mechanics

Abstract

fetched live from OpenAlex

We report on experimental results on dual-band high responsivity InGaAs/InP quantum well photodetectors covering both near and mid-infrared spectral regions. The mid-infrared detection relies on intersubband transitions. With changing well width both bound-to-bound and bound-to-continuum photodetectors have been demonstrated, thus determining the optimal design parameters for this materials system. The near infrared detection is via the usual interband absorption. The observed high responsivity values at high applied voltages are due to the combined effects of low excited-electron capture probability (related to the high mobility in these structures in contrast to the standard GaAs/AlGaAs ones) and of intraband impact ionization leading to an avalanche multiplication gain. To separate the two effects and unambiguously identify the latter, we performed noise measurements and carried out analyses using a newly developed theory.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.007
GPT teacher head0.246
Teacher spread0.238 · 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