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Record W4395110151 · doi:10.1063/5.0195502

Thermocapillary motion of a solid cylinder near a liquid–gas interface: Janus geometry

2024· article· en· W4395110151 on OpenAlexafffund
Alina Arslanova, Giovanniantonio Natale, Senne Fransen, Naveen Reddy, Christian Clasen, Jan Fransaer

Bibliographic record

VenuePhysics of Fluids · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsUniversity of Calgary
FundersVlaamse regeringNatural Sciences and Engineering Research Council of CanadaFonds Wetenschappelijk Onderzoek
KeywordsJanusCylinderPropulsionPhysicsMechanicsSurface tensionWork (physics)IsotropyConvectionInterface (matter)Surface (topology)GeometryThermodynamicsOpticsMaterials scienceNanotechnologyGibbs isotherm

Abstract

fetched live from OpenAlex

In this work, an analytical model is developed for the thermocapillary propulsion of a solid cylinder near a convective liquid–gas interface. Thermocapillarity originates from the temperature-induced surface tension gradients at the liquid–gas interface when the surface temperature of a cylinder residing near the interface differs from the liquid phase. In this work, we consider Janus cylinders with piece-wise constant surface temperatures or heat fluxes. In the former case, we addressed the Gibbs' phenomenon induced by the points of discontinuity. The developed procedure allowed us to study the dynamics of the general case of cylinders with different surface ratios of piece-wise constant temperatures and find the configurations inducing the largest velocities. Most Janus configurations result in motion of the cylinder parallel to the liquid–gas interface. The efficiency of the propulsion parallel to the liquid–gas interface is of the same order of magnitude as the propulsion efficiency of an isotropic cylinder normal to the interface. Considering the emerging interest of scientific community in mechanisms beyond the catalytically induced propulsion, this study may help to shed light on new ways to modulate the propulsion.

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 score0.103
Threshold uncertainty score0.655

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 head0.012
GPT teacher head0.268
Teacher spread0.255 · 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
Published2024
Admission routes2
Has abstractyes

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