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Record W2096284756 · doi:10.1109/94.879364

Numerical and analytic techniques to study capacitive RF discharges

2000· article· en· W2096284756 on OpenAlexaff
Nïkhil Gupta, G. R. Govinda Raju

Bibliographic record

VenueIEEE Transactions on Dielectrics and Electrical Insulation · 2000
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMicroelectronicsCapacitive sensingPlasmaRadio frequencyEngineeringMaterials scienceEngineering physicsElectrical engineeringElectronic engineeringPhysicsNuclear physics

Abstract

fetched live from OpenAlex

Capacitively coupled RF plasma sources are used extensively in the microelectronics industry for commercial production as well as laboratory research and development. This paper deals with the physics of the processes involved and development, both theoretical and analytical, that have helped in understanding the discharge processes. The review begins with a description of the RF discharge. A literature survey provides the experimental efforts that have been directed towards investigating the physics of the capacitively coupled discharges. Measurements of the various plasma parameters are dealt with. Analytical and numerical methods that have been successfully used to model the discharge processes are treated in considerable detail. The paper concludes with a brief comparison of the various techniques.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.637

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 head0.010
GPT teacher head0.232
Teacher spread0.223 · 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 designOther design
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

Citations9
Published2000
Admission routes1
Has abstractyes

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