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Record W2067918087 · doi:10.1021/ie000794q

Calculation of the Hydrodynamic Permeability of Gels and Gel-Filled Microporous Membranes

2001· article· en· W2067918087 on OpenAlexafffund
Alicja M. Mika, Ronald F. Childs

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPermeability (electromagnetism)Microporous materialMembraneScalingChemistryRADIUSCompressibilityChemical engineeringMaterials scienceChemical physicsThermodynamicsPolymer chemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

A new approach to the calculation of gel hydrodynamic permeability is presented in which the gel is modeled as an assemblage of spheres whose radius is a function of the gel concentration. Scaling methods coupled with the electrostatic persistence length are used to estimate the correlation length in equivalent semidilute solutions. The correlation length is taken to be equal to the sphere diameter in an assemblage, and the hydrodynamic permeability of the assemblage is calculated using the Brinkman and Happel models. It is shown that the calculated permeabilities are fully in accord with experimental data reported in the literature for membranes with incorporated poly(acrylamide) gels, as well as data reported in this work for membranes containing charged gels composed of poly(4-vinyl- N -benzylpyridinium salts).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.043
GPT teacher head0.293
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations31
Published2001
Admission routes2
Has abstractyes

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