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Record W2546770399 · doi:10.1002/pola.28407

Unveiling the impact of regioisomerism defects in the glass transition temperature of PVDF by the mean of the activation energy

2016· article· en· W2546770399 on OpenAlexaff
Nasim Anousheh, François Godey, Armand Soldera

Bibliographic record

VenueJournal of Polymer Science Part A Polymer Chemistry · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsTetrafluoroethyleneGlass transitionPolymerCopolymerActivation energyPolymer chemistryPolyvinylidene fluorideRelaxation (psychology)Materials sciencePlasticizerMonomerChain (unit)ThermodynamicsChemistryPhysical chemistryComposite materialPhysics

Abstract

fetched live from OpenAlex

ABSTRACT Alternating two groups, CH 2 and CF 2 , of very different polarities along the backbone chain of polyvinylidene fluoride (PVDF) leads to very interesting properties, such as ferroelectricity. However, these properties are affected by the presence of regioisomerism defects (monomer inversion) that appear during the synthesis. In this study, the influence of these defects on the glass transition temperature ( T g ) is regarded. Using molecular simulation, we investigated their plasticizer effect. To highlight their role in modifying polymer chain relaxation, the activation energy ( E a ) related with conformational transitions is computed. We show that a clear linear relationship can be established between E a and T g . E a is then separated into different contributions associated with each type of bond. Mobility of individual segments can thus be accounted separately from the mobility of the whole chain. As a consequence, T g of the alternate copolymer ethylene‐tetrafluoroethylene (E‐TFE), an isomeric polymer of PVDF, can be deduced. T g of this copolymer is still source of discussion in the literature. The resulting value, −97 °C, is found in good agreement with some experimental data, and also with T g extracted from simulated dilatometry. Consequently, local mobility of a polymer chain can be retrieved from the whole mobility, and vice versa. © 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2017 , 55 , 419–426

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)0.001
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 score0.002
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations25
Published2016
Admission routes1
Has abstractyes

Explore more

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