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Record W2052843388 · doi:10.1149/1.1467942

Low and High Frequency Pulse Current Plating of Copper onto a Rotating Disk Electrode

2002· article· en· W2052843388 on OpenAlexafffund
Nisit Tantavichet, Mark Pritzker

Bibliographic record

VenueJournal of The Electrochemical Society · 2002
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsElectrodePlating (geology)CopperElectrochemistryCapacitanceAnalytical Chemistry (journal)Materials scienceChemistryLow frequencyPulse (music)MetallurgyVoltageElectrical engineering

Abstract

fetched live from OpenAlex

A comprehensive mathematical model for galvanostatic pulse plating has been developed and compared with the experimentally obtained electrode response during the deposition of copper from a sulfuric acid solution onto a rotating disk electrode. The model incorporates diffusional, convective, and migrational transport, electrode kinetics, and homogeneous reaction and capacitance effects due to the electrical double layer (dl) and the adsorption of an intermediate. The effect of the electrical dl at both low and high frequency pulse plating has been investigated. The model has been fit to the electrode potentials monitored during electrodeposition via a digital oscilloscope and been found to agree very well quantitatively with the experimental data over the frequency range from 50 Hz to 50 kHz, although the agreement decreases somewhat at the highest frequency. Analysis of the model shows that the effect of the pseudocapacitance due to the adsorption of a intermediate plays a major role during pulse plating, while the effect of electrical dl capacitance is significant at low frequencies, but becomes very small at high frequencies. © 2002 The Electrochemical Society. All rights reserved.

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 score0.017
Threshold uncertainty score0.680

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 integrity0.0000.001
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 head0.005
GPT teacher head0.198
Teacher spread0.193 · 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

Citations28
Published2002
Admission routes2
Has abstractyes

Explore more

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