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Record W2064636455 · doi:10.1021/la027035s

Analysis of Alternating Current Electroosmotic Flows in a Rectangular Microchannel

2003· article· en· W2064636455 on OpenAlexaff
David Erickson, Dongqing Li

Bibliographic record

VenueLangmuir · 2003
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMechanicsMicrochannelElectro-osmosisWaveformAlternating currentOscillation (cell signaling)Steady state (chemistry)MicrofluidicsImpulse (physics)ExcitationCurrent (fluid)Flow (mathematics)ChemistryFlow velocityMaterials sciencePhysicsVoltageThermodynamicsClassical mechanicsNanotechnologyPower (physics)Electrophoresis

Abstract

fetched live from OpenAlex

Electroosmotic flow is widely used as a primary method of species transport in microfluidic devices. The recent introduction of several alternating current (ac) based microfluidic applications has led to enhanced interest in time periodic electroosmotic flows. In this work, an analytical solution, via a Green's function formulation, is developed for ac electroosmotic flow through a rectangular microchannel for the case of a sinusoidal applied electric field. The response of the flow field to excitation by more complex waveforms is also investigated using numerical simulations. It is shown that the steady time periodic (after the effects of the initial impulse are dissipated) velocity profile is characterized by the ratio of the period of oscillation to the time scale for viscous diffusion, by the surface ζ-potential distribution, and by the channel aspect ratio. Impulsively started flows are also shown to exhibit interesting transient behavior resulting in a net positive velocity at the channel midpoint during the initial cycles prior to reaching the steady state oscillation. The influence of the particular excitation waveform is demonstrated to be more significant at lower frequencies since the bulk flow has more time to respond to instantaneous changes in the applied potential.

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 score0.162
Threshold uncertainty score0.371

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 science0.0000.000
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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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

Citations105
Published2003
Admission routes1
Has abstractyes

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