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Record W4412071680 · doi:10.1016/j.molliq.2025.128108

Piezoelectric crystalline hydrogels of two surfactants with different polarity and long-chain alcohols

2025· article· en· W4412071680 on OpenAlexafffund
Eshita Patel, Aicheng Chen, Saeed M. Ghazani, Alejandro G. Marangoni, Stefano Gregori, Erica Pensini

Bibliographic record

VenueJournal of Molecular Liquids · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSelf-healing hydrogelsPolarity (international relations)Chain (unit)PiezoelectricityMaterials scienceChemical engineeringChemistryPolymer chemistryComposite materialEngineeringBiochemistry

Abstract

fetched live from OpenAlex

Piezoelectric materials are capacitive and transform mechanical deformations into electricity. The zwitterionic surfactant cocamidopropyl hydroxysultaine (CAPS) and the anionic surfactant sodium dodecyl sulfate (SDS) have a different dipole moment. Binary mixtures of CAPS and water are capacitive, although they are liquid or incohesive. CAPS interacts with decanol through its amino and sulfate groups, as revealed by Fourier transform infrared spectroscopy. A CAPS-decanol complex with a melting point of ~31 °C is observed by differential scanning calorimetry. Mixtures of 1:1:14 CAPS:decanol: water (mole based) are birefringent gels, with an elastic modulus G' greater than the loss modulus G", as shown by polarized light microscopy and shear rheology. They have a cubic crystalline structure, as shown by X-ray diffraction in the small angle X ray scattering (SAXS) region. Aqueous mixtures of CAPS and decanol are also capacitive and piezoelectric. CAPS-octanol interactions are weaker, and their aqueous mixtures are more amorphous compared to CAPS-decanol mixtures, as revealed by SAXS. SDS also yields crystalline, birefringent gels upon mixing with water and either octanol or decanol. However, SDS has a smaller dipole moment than CAPS, and these gels are less capacitive.

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 score0.148
Threshold uncertainty score0.531

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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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