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Record W2318634911 · doi:10.1063/1.4942304

Grafting of sodium montmorillonite with γ-aminopropyltriethoxysilane in ethanol/water dispersing medium

2016· article· en· W2318634911 on OpenAlexaff
Mohammad Asgari, Uttandaraman Sundararaj

Bibliographic record

VenueAIP conference proceedings · 2016
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Nanocomposites and Properties
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSilaneMontmorilloniteThermogravimetric analysisGraftingFourier transform infrared spectroscopyPolymer chemistrySodiumMaterials scienceChemistryChemical engineeringPolymerNuclear chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

In this work, silane grafted sodium montmorillonite was synthesized by γ-aminopropyltriethoxysilane to make it compatible with the organic polymer. The grafting reaction was examined by Fourier transform infrared (FTIR), 29Si NMR, and thermogravimetric analysis (TGA). The appearance of new peaks for FTIR results confirmed the presence of the grafted silane onto the clay platelets. Besides, 29Si NMR results revealed another extra resonance which belongs to new bonds formed at clay edges and on the internal nanoclay platelets. TGA results confirmed that by increasing the amount of silane, the amount of grafting silane also increased which was shown by increase of mass loss. DTG results showed that by increasing the amount of aminosilane used for modification, the amount of intercalated silane is also increased.

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 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 score0.055
Threshold uncertainty score0.473

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 communication0.0000.001
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 head0.018
GPT teacher head0.223
Teacher spread0.205 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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