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Record W2056127033 · doi:10.1116/1.582177

The temperature dependence of the dc characteristics of silicon germanium bipolar transistors

2000· article· en· W2056127033 on OpenAlexaff
S. P. McAlister, S. Kovacic, A. Renaud, Zhenming Zhou

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2000
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsCMC Microsystems (Canada)Institute for Microstructural Sciences
Fundersnot available
KeywordsBipolar junction transistorTransistorMaterials scienceOptoelectronicsGermaniumBiCMOSCommon emitterAmplifierSiliconSilicon-germaniumPower semiconductor deviceResistorQuantum tunnellingAtmospheric temperature rangeElectrical engineeringContext (archaeology)Current (fluid)SemiconductorEngineering physicsBiasingVoltageCMOSEngineeringPhysics

Abstract

fetched live from OpenAlex

Silicon germanium bipolar transistors provide excellent high frequency performance within the context of silicon, encroaching dramatically on III–V semiconductor’s territory. Applications of the technology, however, will require the performance specifications with regard to the temperature range of operation. Using devices accessible from a BiCMOS technology, adapted to incorporate SiGe, we have measured the temperature dependence of properties such as the dc gain, ideality factors, and VBE at various base current levels, from 100 to 450 K. The ideality factors are close to unity above 250 K but greater than 2.5 at 100 K. We suggest that tunneling at the emitter perimeter can account for the high base ideality factors at low current and low temperature. Our data show a decrease in the gain with increasing current and temperature in normal operating ranges—devices with “box” Ge profiles in the base layer do not have this feature. This is important in preventing thermal runaway in power transistors, and may remove the necessity of emitter ballast resistors and provide higher power-added-efficiency in an amplifier block. We also show that the gain-Early voltage product is roughly linear with 1/T above ambient temperature.

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)0.001
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 score0.056
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.208
Teacher spread0.203 · 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

Citations11
Published2000
Admission routes1
Has abstractyes

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