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Record W2094580973 · doi:10.1177/0021998305046439

Crystallinity of Hybrid Nanozeolite-Poly(ethylene oxide) Composites

2005· article· en· W2094580973 on OpenAlexafffund
Catherine Kennedy, Bi‐Zeng Zhan, Mary Anne White

Bibliographic record

VenueJournal of Composite Materials · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Battery Materials
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaKillam Trusts
KeywordsCrystallinityMaterials scienceEthylene oxideNanocompositeZeoliteLithium (medication)OxidePolymerComposite materialGlass transitionFaujasiteHybrid materialChemical engineeringCopolymerOrganic chemistryChemistryNanotechnology

Abstract

fetched live from OpenAlex

New materials that contain both organic and inorganic components have potentially new chemical and physical properties that can even lie outside those bracketed by their constituents. A series of hybrid polymer-inorganic nanocomposite materials was synthesized using various poly(ethylene oxide), LiCF 3 SO 3 , and zeolite mixtures. The series included mixtures of SiO 2 , PEO-LiX, and PEO-GLYLiX, of varying concentrations (where GLY 1 /4 3-glycidoxypropyltrimethoxysi-lane, LiX is lithiated faujasite zeolite, and the Li + source was LiCF 3 SO 3 ; for all the LiCF 3 SO 3 -containing samples, the PEO oxygen: lithium mole ratio was 12: 1). Their degrees of crystallinity and glass transition temperatures relative to pure semicrystal-line PEO were found to be reduced on the addition of the inorganic components.

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)0.000
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
Metaresearch0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.237
Teacher spread0.228 · 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

Citations3
Published2005
Admission routes2
Has abstractyes

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