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Record W2013949222 · doi:10.1115/imece2008-68328

Effect of Electrode Shape on Droplet Actuation in Electrowetting-Based Microfluidics

2008· article· en· W2013949222 on OpenAlexaff
Negar Rajabi, Ali Dolatabadi

Bibliographic record

VenueVolume 13: Nano-Manufacturing Technology; and Micro and Nano Systems, Parts A and B · 2008
Typearticle
Languageen
FieldEngineering
TopicElectrowetting and Microfluidic Technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsElectrowettingMicrofluidicsElectrodeDigital microfluidicsLaplace's equationMaterials scienceElectric fieldMechanicsAccelerationContact anglePhysicsClassical mechanicsNanotechnologyComposite materialBoundary value problem

Abstract

fetched live from OpenAlex

This article describes the effect of electrode shape in electrowetting-based droplet actuation. A Volume of Fluid technique is applied to track the 3-D interface. The Laplace equation is solved to predict the time and space dependent electric field in the domain. The onset of actuation, contact angle distribution at the three phase line, and the droplet morphology are studied for two electrode shapes; i.e. flat and crescent. The acceleration and the velocity of the droplet are also other important parameters to show the superior performance of crescent electrode in droplet actuation.

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 categoriesMeta-epidemiology (narrow)
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.190
Teacher spread0.185 · 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.

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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueVolume 13: Nano-Manufacturing Technology; and Micro and Nano Systems, Parts A and BSame topicElectrowetting and Microfluidic TechnologiesFrench-language works237,207