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Record W2002148961 · doi:10.1117/12.391483

Infrared photodetectors based on Sb materials

2000· article· en· W2002148961 on OpenAlexaff
Alex S. Lee, E. Herbert Li

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsResponsivitySuperlatticePhotodetectorOptoelectronicsMaterials scienceSpecific detectivityWavelengthGallium arsenideIndium arsenideDark currentOpticsPhotoconductivityInfraredPhysics

Abstract

fetched live from OpenAlex

Strained layer superlattices based on Sb semiconductor material are proposed for long wavelength photodetector applications. Theoretical studies on the band structure of AlGaSb/GaSb, AlInSb/InSb, and GaInSb/InAs superlattices show that the wavelength coverage can be extended from 0.5 to 30 micrometer. Optical absorptions of the superlattices are calculated taking into account the intermixing effect at different diffusion lengths. Responsivity and detectivity of the GaInSb/InAs superlattice detector are also analyzed. Blue shift of responsivity is observed for increased intermixing and the detectivity D<SUP>*</SUP> at 77 K is increased by more than one fold in magnitude as R<SUB>0</SUB>A increases linearly with intermixing.

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 categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.214
Teacher spread0.205 · 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 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

Citations2
Published2000
Admission routes1
Has abstractyes

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