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Record W2074100773 · doi:10.1063/1.2654973

Theory of microplasma fluctuations and noise in silicon diode in avalanche breakdown

2007· article· en· W2074100773 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Physics · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMicroplasmaNoise (video)Materials scienceDiodeAvalanche breakdownOptoelectronicsSemiconductor deviceSemiconductorAvalanche diodeDiffusionCondensed matter physicsComputational physicsNanotechnologyPhysicsPlasmaBreakdown voltageQuantum mechanicsVoltageComputer science

Abstract

fetched live from OpenAlex

A theory that explains physically the mechanism of microplasma switching from nonconducting to conducting state (turn-on process) and from conducting to nonconducting state (turn-off process) is presented. This theory describes the microplasma phenomenon in avalanche breakdown, and it provides relations between the microplasma properties (size, current density, and turn-on-off mechanism), noise properties (amplitude and wave form), and semiconductor properties (impurity concentration, lifetime constants, and diffusion coefficients). By use of this theory, the current-fluctuation [McIntyre, IEEE Trans. Electron Devices ED-13, 164 (1966)] and probability-dependent [Haitz, J. Appl. Phys. 35, 1370 (1964)] theories can be combined, and a very attractive characterization tool for investigation of semiconductor junctions in breakdown is developed.

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.

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 score0.086
Threshold uncertainty score0.339

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)0.0000.000

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 head0.011
GPT teacher head0.227
Teacher spread0.216 · 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