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Record W2147609157 · doi:10.1002/pc.20577

Influence of interfacial phenomena on the mechanical properties of particulate composite membranes

2008· article· en· W2147609157 on OpenAlexaff
Rajinder Pal

Bibliographic record

VenuePolymer Composites · 2008
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceComposite materialComposite numberMembraneInterphaseAdhesionParticulatesMatrix (chemical analysis)Shell (structure)Filler (materials)Core (optical fiber)Chemistry

Abstract

fetched live from OpenAlex

Abstract New models are proposed to describe the mechanical behavior of particulate composite membranes. The mechanical properties of particulate composite membranes are strongly influenced by interfacial phenomena. When adhesion between the filler particles and matrix is poor, the mechanical properties of composite membranes deteriorate with the addition of filler to the matrix. The addition of filler particles to the matrix has a reinforcement effect when adhesion between the particles and matrix is good. The presence of interphase (interfacial shell) around the particles can strongly influence the mechanical properties of particulate composite membranes. Some of the key factors affecting the mechanical properties of composite membranes are interphase‐to‐matrix moduli ratio, core‐to‐shell moduli ratio, and shell‐to‐core radii ratio. Theproposed models are verified using 15 sets of experimental data on the mechanical properties of particulate composites. POLYM. COMPOS., 2009. © 2008 Society of Plastics Engineers

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.203
Teacher spread0.182 · 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 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

Citations2
Published2008
Admission routes1
Has abstractyes

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