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Record W2277420297 · doi:10.5539/apr.v8n2p10

Voltage-Current Measurement and Circuit Model Simulation to Characterize Electrical Properties of 40 kHz Capacitive Coupled Plasma (CCP) By Means of Pressure Variation

2016· article· en· W2277420297 on OpenAlexvenueno aff
Sigit Kurniawan, D. J. Djoko Satjojo H. S., Setyawan P. Sakti

Bibliographic record

VenueApplied Physics Research · 2016
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPlasmaVoltageMaterials scienceResistorCapacitive sensingCapacitorEquivalent circuitElectrical networkElectrical engineeringMechanicsPhysicsEngineering

Abstract

fetched live from OpenAlex

<p class="1Body">The change of plasma conditions caused by pressure increasing can affect the change of electrical characteristic of plasma and influence in each of plasma process is done, its change can be estimated by means of voltage-current characteristics from V-I measurement and simulation of the plasma equivalent circuit model. This study is investigation of electrical characteristic of 40 kHz Capacitive Coupled Plasma (CCP) from V-I measurement were combined by simulation of the plasma circuit model, the goal study is observation of the change of electrical properties of plasma in different pressure conditions. The simulation results show that the output of circuit model in the simulation are similar with voltage-current characteristic from V-I measurement in 300 mTorr-900 mTorr pressure conditions. From the characterization, can be concluded that the electrical properties of CCP can be estimated by using the resistor and capacitor values of circuit model in the simulation to get similarity characteristic with voltage-current from V-I measurement.</p>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.395

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 head0.101
GPT teacher head0.280
Teacher spread0.179 · 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
Published2016
Admission routes1
Has abstractyes

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