MétaCan
Menu
Back to cohort
Record W4409676399 · doi:10.1016/j.elstat.2025.104075

EHD-induced mass transfer from wet materials

2025· article· en· W4409676399 on OpenAlex
Alex Martynenko

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

VenueJournal of Electrostatics · 2025
Typearticle
Languageen
FieldEngineering
TopicAerosol Filtration and Electrostatic Precipitation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMass transferMaterials scienceEnvironmental scienceChemistryChromatography

Abstract

fetched live from OpenAlex

Electrohydrodynamics (EHD) is an interdisciplinary field that combines electrodynamics and fluid dynamics, primarily studying fluid motion driven by electric fields. The mechanisms of EHD arise from the interaction between the electric fields, charged particles and polarization effects within the fluid. This review extends the boundaries of our knowledge about mechanisms of EHD-induced mass transfer. The impact of EHD flow on convective and diffusive mass transfer in gaseous and liquid phases of capillary-porous materials is thoroughly discussed. The review covers the gap between electrohydrodynamics and thermodynamics, serving as a reference for future EHD applications in mass transfer processes. • EHD flow enhances both convective and diffusive mass transfer. • Conjugate effects of heat, momentum, and charge flows on mass transfer have been discussed. • The model of EHD-induced mass transfer was proposed. • The review connects domains of electrohydrodynamics and thermodynamics.

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)0.000
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 score0.315
Threshold uncertainty score0.549

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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