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Record W2102238091 · doi:10.1109/led.2004.838553

Extraction of the Average Collector Velocity in High-Speed “Type-II” InP–GaAsSb–InP DHBTs

2004· article· en· W2102238091 on OpenAlexaff
H.G. Liu, N.G. Tao, S. P. Watkins, C. R. Bolognesi

Bibliographic record

VenueIEEE Electron Device Letters · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHeterojunctionIndium phosphideGallium arsenideMaterials scienceDrift velocityOptoelectronicsBipolar junction transistorConduction bandHeterojunction bipolar transistorElectronElectric fieldIndium gallium arsenideAnalytical Chemistry (journal)Electrical engineeringTransistorVoltagePhysicsChemistry

Abstract

fetched live from OpenAlex

In "type-II" NpN InP-GaAsSb-InP double heterostructure bipolar transistors DHBTs), the p/sup +/ GaAsSb base conduction band edge lies /spl Delta/E/sub C/ above the InP collector conduction band: a small ballistic injection energy /spl Delta/E/sub C/ is thus imparted to electrons as they are launched into the collector. The resulting high initial velocity should in principle reduce the collector signal delay time in comparison to the case where thermal electrons are accelerated by the collector electric field alone. We extract the bias dependence of the average collector electron velocity in high-speed InP-GaAs/sub 0.62/Sb/sub 0.38/-InP DHBTs, and find a maximum average velocity reaching 4/spl times/10/sup 7/ cm/s across a 2000 /spl Aring/ InP collector. This finding provides evidence of the performance advantage afforded by abrupt type-II base/collector (B/C) junctions for collector transport when compared to other B/C junctions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.247
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2004
Admission routes1
Has abstractyes

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