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Record W1972305958 · doi:10.1116/1.2200376

GaAsNSb-base GaAs heterojunction bipolar transistor with a low turn-on voltage

2006· article· en· W1972305958 on OpenAlexaff
K. L. Lew, S. F. Yoon, H. Wang, Satrio Wicaksono, J. A. Gupta, S. P. McAlister

Bibliographic record

VenueJournal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsInstitute for Microstructural Sciences
Fundersnot available
KeywordsHeterojunction bipolar transistorMaterials scienceHeterojunctionOptoelectronicsBipolar junction transistorHeterostructure-emitter bipolar transistorMolecular beam epitaxyVoltageTransistorEpitaxyNitrideBlocking (statistics)Breakdown voltageElectrical engineeringNanotechnologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

A GaAsNSb heterojunction bipolar transistor (HBT) structure was grown by solid source molecular beam epitaxy. The fabricated HBT showed a reduction in the turn-on voltage of ∼195mV when GaAs0.915N0.005Sb0.08 was used as the base material. The small knee voltage (<1V) of the GaAsNSb HBT indicates that the current blocking effect is small. Significant gain degradation in the GaAsNSb HBT was observed when the nitrogen (N) composition was increased to 2%. The results show that the dilute nitride GaAsNSb materials have potential for reducing the turn-on voltage in GaAs HBTs.

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 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 score0.054
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.190
Teacher spread0.182 · 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.

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

Citations10
Published2006
Admission routes1
Has abstractyes

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