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Record W1924942729 · doi:10.1196/annals.1362.008

An Electrowetting Microvalve

2006· article· en· W1924942729 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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 score0.034
Threshold uncertainty score0.303

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 science0.0010.000
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 head0.031
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