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Record W1975684491 · doi:10.1063/1.1637446

Characterization of InP electron-initiated impact ionization in low electric fields using abrupt junction NpN InP/GaAsSb/InP double heterojunction bipolar transistors

2003· article· en· W1975684491 on OpenAlexaff
S. Lam, C. R. Bolognesi, S. P. Watkins

Bibliographic record

VenueApplied Physics Letters · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHeterojunctionBipolar junction transistorOptoelectronicsMaterials scienceImpact ionizationElectronCharacterization (materials science)Indium phosphideHeterojunction bipolar transistorIonizationGallium arsenideTransistorChemistryVoltageNanotechnologyPhysicsIon

Abstract

fetched live from OpenAlex

The electron impact ionization coefficient αn(E) in InP is determined from electron multiplication measurements in NpN InP/GaAsSb/InP double heterojunction bipolar transistors (DHBTs). The staggered (“type-II”) band lineup between the p+ GaAs0.51Sb0.49 base and the InP collector layer allows the injection of a pure electron initiating current directly into the InP collector across an abrupt base/collector heterojunction, without the ambiguities associated with the compositional grading otherwise required to overcome the blocking band discontinuity between Ga0.47In0.53As and InP. InP/GaAsSb/InP DHBTs thus enable us to characterize αn(E) in InP in a low-field regime. Whereas the αn(E) values we extract at higher fields are in good agreement with previously reported photodiode based measurements, our data reveal a clear low-field “tail” for αn(E)<102 cm−1, indicating that InP has a soft impact ionization threshold similar to that observed for electrons in Ga0.47In0.53As. This finding can be understood in terms of the similarities between the conduction band structures of InP and Ga0.47In0.53As.

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)
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 score0.036
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
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.243
Teacher spread0.227 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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