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Record W1558777550 · doi:10.1109/cornel.2000.902511

High performance InP/GaAsSb/InP DHBTs with heavily doped base layers

2002· article· en· W1558777550 on OpenAlexafffund
C. R. Bolognesi, M.W. Dvorak, O. J. Pitts, S. P. Watkins

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOptoelectronicsMaterials scienceDopingPassivationHeterojunctionBipolar junction transistorGallium arsenideHeterojunction bipolar transistorMetalorganic vapour phase epitaxyBreakdown voltageIndium phosphideCutoff frequencyImpact ionizationFabricationEpitaxyLayer (electronics)TransistorIonizationVoltageElectrical engineeringNanotechnologyPhysicsIon

Abstract

fetched live from OpenAlex

We discuss the design and fabrication of high-performance InP/GaAsSb/InP NpN double heterostructure bipolar transistors (DHBTs) grown by MOCVD with heavy carbon doping in the GaAsSb base layer. The staggered (type II) band lineup at InP-GaAsSb heterojunctions allows the growth of abrupt E/B and C/B heterojunctions, thus greatly simplifying the growth and implementation of DHBTs. In addition, C-doped GaAsSb base layers are essentially free of H-passivation effects and can be doped to levels as high as 2.5/spl times/10/sup 20/ cm/sup -3/ while maintaining hole mobilities of at least /spl mu//sub p/=25-30 cm/sup 2//Vs for extremely low base sheet resistances. We show that cutoff frequencies in excess of 200 GHz can be achieved while maintaining breakdown voltages /spl ges/6 V thanks to the low impact ionization coefficients in the InP collector. InP/GaAsSb/InP DHBTs therefore show much potential for /spl ges/40 Gb/s applications.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.988

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)0.0130.000

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 head0.014
GPT teacher head0.204
Teacher spread0.190 · 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 designObservational
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
Published2002
Admission routes2
Has abstractyes

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