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Record W2057285901 · doi:10.1063/1.4818803

Experimental study of the effect of surface-absorbed hydrophobic particles on the Landau-Levich law

2013· article· en· W2057285901 on OpenAlexaff
Malika Ouriemi, G. M. Homsy

Bibliographic record

VenuePhysics of Fluids · 2013
Typearticle
Languageen
FieldMaterials Science
TopicPickering emulsions and particle stabilization
Canadian institutionsUniversity of British Columbia
FundersLos Alamos National LaboratoryMaterials Research Science and Engineering Center, Harvard UniversityU.S. Department of Energy
KeywordsCoatingPower lawRange (aeronautics)Particle (ecology)Capillary actionPhysicsComposite materialMaterials scienceThermodynamics

Abstract

fetched live from OpenAlex

We study the dip coating of liquids with particles absorbed on the interface under controlled conditions to obtain data on the coating thickness of particle dispersions as a function of coating speed, physical properties, and particle surface concentration. The thickness of the coating film created by the withdrawal of a plate from a bath was measured gravimetrically over a wide range of capillary numbers for two different kinds of particles. It is found that the presence of particles results in a significant thickening of the film relative to that for a clean interface, and in a slightly different power law for the thickness vs. capillary number than the classical Landau-Levich law. The influence of the particle surface concentration is also investigated, and shows a strong dependence of the film thickness on concentration, including a threshold concentration at which the film thickness begins to deviate from that for a clean interface.

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 score0.003
Threshold uncertainty score0.169

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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