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Record W2160110761 · doi:10.1109/drc.2000.877124

MOCVD-grown 175 GHz InP-GaAs/sub x/Sb/sub 1-x/-InP DHBTs with high current gains using strained and heavily C-doped base layers

2002· article· en· W2160110761 on OpenAlexaff
M.W. Dvorak, N. Matine, S. P. Watkins, C. R. Bolognesi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMaterials scienceMetalorganic vapour phase epitaxyGallium arsenideDopingOptoelectronicsHeterojunction bipolar transistorPicosecondBase (topology)Indium phosphideAnalytical Chemistry (journal)Layer (electronics)Electrical engineeringVoltageEpitaxyOpticsBipolar junction transistorTransistorPhysicsLaserNanotechnologyChemistry

Abstract

fetched live from OpenAlex

Summary form only given. In this paper, we report high current gain InP-GaAsSb-InP DHBTs implemented with a 200 /spl Aring/ thick strained GaAs/sub 0.6/Sb/sub 0.4/ highly-doped base layer (C: 8/spl times/10/sup 19/ cm/sup -3/). The devices exhibit peak cut-off frequencies f/sub T/= 175 GHz and f/sub max/=106 GHz with a BV/sub CEO/=6 V and a DC current gain /spl beta/=200-300 which can be traded off for higher f/sub max/ values. The devices behave extremely well even at low supply voltages: f/sub T/ remains above 150 GHz (125 GHz) for V/sub CE+/=0.75 V (0.55 V). This work is the first demonstration of a sub-picosecond transit time for an HBT with a base material other than GaInAs or GaAs, and we attribute the tenfold increase in /spl beta/ with respect to our previous work (Bolognesi et al, 1999) on the use of a strained As-rich base layer.

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), Insufficient payload (model declined to judge)
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 score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.039
GPT teacher head0.260
Teacher spread0.221 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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