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Record W2164531256 · doi:10.1109/ceidp.1992.283171

Influence of a nonuniform field on the electron swarm parameters in SF/sub 6/

2003· article· en· W2164531256 on OpenAlexaff
J. Liu, G. R. Govinda Raju

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDrift velocityElectric fieldElectronMonte Carlo methodRelaxation (psychology)Swarm behaviourIonizationField (mathematics)PhysicsNon-equilibrium thermodynamicsEnergy (signal processing)Computational physicsAtomic physicsMathematicsThermodynamicsIonQuantum mechanicsStatisticsMathematical optimization

Abstract

fetched live from OpenAlex

The influence of a nonuniform electric field on the swarm parameters in SF/sub 6/ has been studied using the Monte Carlo simulation technique in which the motion of electrons is traced. Two field configurations in which the electrons move have been studied: increasing and decreasing electric fields. The spatial variations of the electron mean energy, drift velocity, ionization, and attachment coefficients are calculated for different field slopes and compared with the equilibrium values obtained under uniform field conditions. The results show that alpha /N is lower than the equilibrium value for increasing field and is higher for decreasing field with the relaxation rate depending on the field slope. The mean energy and drift velocity are almost the same as equilibrium values, while the attachment coefficients show a significant nonequilibrium feature.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 score0.102
Threshold uncertainty score0.167

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 head0.010
GPT teacher head0.204
Teacher spread0.194 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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