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Record W2313383557 · doi:10.1021/cg2000188

Ultrasonic Technique for Determination of the Shear Elastic Modulus of Polycrystalline Soft Materials

2011· article· en· W2313383557 on OpenAlexaff
Fatemeh Maleky, Alejandro G. Marangoni

Bibliographic record

VenueCrystal Growth & Design · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMaterials scienceRheometryShear modulusCrystalliteComposite materialShear (geology)Ultrasonic sensorRheometerModulusLaminar flowRheologyMineralogyAcousticsChemistryMetallurgyThermodynamics

Abstract

fetched live from OpenAlex

The effects of laminar shear on crystalline orientation and the mechanical properties of triacylglycerol crystal networks were quantified using ultrasonic spectrometry. In this communication, we demonstrate the feasibility of determining the shear elastic modulus of irregularly shaped, small pieces of polycrystalline materials. Results obtained were comparable to those obtained by conventional small deformation oscillatory rheometry. Moreover, in-line, in situ measurements, as well as specific directional probing, are possible using this technique. Here we also show that cocoa butter crystallized under an external shear field displays a higher shear storage modulus than cocoa butter crystallized statically. This opens up the possibility of structuring edible fats with less structuring material, that is, saturated and trans fats, resulting in a food material with improved health characteristics.

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 score0.087
Threshold uncertainty score0.183

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 communication0.0000.000
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 head0.029
GPT teacher head0.206
Teacher spread0.177 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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