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Record W1924942729 · doi:10.1196/annals.1362.008

An Electrowetting Microvalve

2006· article· en· W1924942729 on OpenAlexaff
Kamran Mohseni, Ali Dolatabadi

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2006
Typearticle
Languageen
FieldEngineering
TopicElectrowetting and Microfluidic Technologies
Canadian institutionsConcordia University
FundersAir Force Office of Scientific ResearchNational Science Foundation
KeywordsElectrowettingMicrofluidicsSurface tensionMaterials scienceComputer simulationLeakage (economics)MechanicsBoundary value problemFlow (mathematics)Electric fieldSensitivity (control systems)OptoelectronicsElectronic engineeringNanotechnologyEngineeringPhysics

Abstract

fetched live from OpenAlex

Numerical simulation of a zero-leakage microvalve is investigated where a liquid droplet is used as a gate to regulate the flow in a T junction. The droplet gate is activated by changing its surface tension via an applied electric field. Numerical simulation of the droplet actuation is considered where the effect of electrowetting is imposed in the form of a modified boundary condition at the contact line. Numerical simulation is used to predict the droplet behavior and to design the valve. It is found that the pressure breakdown of the microvalve is significantly affected by the geometry of the T junction corners. It is expected that such a microvalve design will improve the sensitivity and performance of a wide variety of microfluidic devices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.285
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2006
Admission routes1
Has abstractyes

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