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Record W2796193175 · doi:10.11159/icnnfc18.1

Separation and Phase Behavior of Double-Decker Silsesquioxane Isomers

2018· article· en· W2796193175 on OpenAlexvenueno aff
André Lee

Bibliographic record

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2018
Typearticle
Languageen
FieldMaterials Science
TopicSilicone and Siloxane Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsSilsesquioxanePhase (matter)Materials scienceComputer scienceChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

By virtue of regio-and geometric isomers, functionalized double-decker silsesquioxanes (DDSQ) may offer unique access to silsesquioxane-based hybrid materials with multifaceted performance characteristics. Analytical methods were as used to separate cis and trans isomers of various DDSQ with polar as well as nonpolar moieties. Solubility was fitted to the Schrder-van Laar equation with activity coefficients determined using the NRTL model by adjusting binary interaction parameters. For a given DDSQ compound, the variances in solubility between cis and trans isomers depend on differences in thermal properties. cis and trans isomers binary phase diagrams of DDSQs were also developed to examine the influence of the regioisomer (meta-or para-) and the nonactive organic moiety coupled on the D-silicon. DDSQ compounds with a methyl moiety exhibited eutectic phase diagrams. Their trans isomers were higher melting and exhibited larger packing density. Cyclohexyl DDSQ exhibited an isomorphic phase diagram, attributed to cyclohexyl being more similar in size to the phenyl moieties. Changing from para-to meta-aminophenyl shifted the solid-liquid equilibrium further from ideal, with decreased activity coefficients.

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 score0.012
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.323
Teacher spread0.308 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Recent Advances in NanotechnologySame topicSilicone and Siloxane ChemistryFrench-language works237,207