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Record W2079953016 · doi:10.1063/1.4754426

Characterization of large-scale interface deformation arising from electrostatic modification of the contact angle of pinned contact lines

2012· article· en· W2079953016 on OpenAlexaff
Laura Ibarra-Bracamontes, Michele Mossman, Lorne Whitehead

Bibliographic record

VenueJournal of Applied Physics · 2012
Typearticle
Languageen
FieldEngineering
TopicElectrowetting and Microfluidic Technologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsElectrowettingContact angleElectric fieldMaterials scienceWettingSurface energyElectrostaticsDeformation (meteorology)Substrate (aquarium)MechanicsChemical physicsOpticsComposite materialNanotechnologyChemistryOptoelectronicsPhysicsGeology

Abstract

fetched live from OpenAlex

We present an experimental study of the deformation of oil-water interfaces under the influence of applied electric fields. In a new experimental approach, a pattern of regions with hydrophilic or hydrophobic surface properties is formed on a substrate and oil drops in an ambient environment of water are confined to specific regions of the substrate by this pattern. As with electrowetting, the shape of the oil-water interface can be changed by applying an electric field that changes the surface energy relationship at the interface. However, in this new method the contact line does not move. Surprisingly, although this behavior is a result of microscopic-scale electrostatic forces, only small surface shape changes result. Nevertheless, the changing interfacial shape can cause macroscopic fluid flow. In this paper, we use video microscopy and image analysis to investigate the dynamic evolution of the interface under various conditions, in order to explain this counterintuitive result.

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 score0.083
Threshold uncertainty score0.258

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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