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Record W2752233585 · doi:10.1021/acs.iecr.7b02814

Enhanced Electrically Induced Micropatterning of Confined Thin Liquid Films: Thermocapillary Role and Its Limitations

2017· article· en· W2752233585 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

VenueIndustrial & Engineering Chemistry Research · 2017
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMicropatterningMaterials scienceThin filmNanotechnologyChemical engineeringEngineering

Abstract

fetched live from OpenAlex

Electrohydrodynamic (EHD) and thermocapillary (TC) forces are used to destabilize the interface of ultrathin liquid films and create sub-micrometer-sized features. EHD instabilities result from the normal component of Maxwell stress, while TC forces induce shear stress to the interface. In this study, the accuracy of linear stability (LS) analysis for the prediction of final structures which undergo nonlinear stages during pattern evolution is investigated by using new normalizing factors. The reasons for the deviation between LS analysis and nonlinear simulation results are then discussed. It is found that, despite the positive effect of TC in reducing the structure sizes compared to the EHD case, it causes lateral movement of pillars, which results in faster coarsening in later stages of pattern formation. To control the movement of patterns and create well-ordered features, nonuniform electrostatic and TC-induced instabilities of the film are examined by using ridge and square-block-shaped electrodes.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.112
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.289
Teacher spread0.216 · 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