MétaCan
Menu
Back to cohort
Record W2019054977 · doi:10.1021/jp010898u

The Combined Effects of Temperature and Polymerization Rate Changes on the Real-Time Conduction and Relaxation of a Liquid, and the Evolution of Localized Motions

2001· article· en· W2019054977 on OpenAlexaff
Camillo Cardelli, E. Tombari, G. P. Johari

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2001
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRelaxation (psychology)PolymerizationDielectricArrhenius equationThermodynamicsActivation energyCole–Cole equationChemistryMaterials scienceAnalytical Chemistry (journal)Polymer chemistryPhysical chemistryPolymerOrganic chemistry

Abstract

fetched live from OpenAlex

Simultaneous, real-time calorimetry and dielectric spectrometry were performed to study the manner in which molecular dynamics of a polymerizing liquid (stoichiometric amounts of 4,4‘-diaminodicyclohexylamine and diglycidyl ether of bisphenol A) evolves during the thermal cycle which converts its initially (molecular) liquid to a vitrified solid of a cross-linked network structure without extraneous products and a loss of mass. As the extent of polymerization and temperature increase at a fixed heating rate, the dielectric relaxation spectra broadens, the characteristic relaxation time increases, and the equilibrium dielectric permittivity and dc conductivity decrease. An indication of the localized motions of the Johari-Goldstein relaxation was evident at high frequencies during the course of polymerization. The relaxation dynamics further evolves as further polymerization occurs on heating, and a new relaxation process develops in the partially polymerized state. Its spectra is described by a symmetric distribution of relaxation times, whose width increases on cooling and relaxation strength remains constant. Its relaxation rate follows the Arrhenius equation with an activation energy of 64 kJ/mol. There is also an indication of a further relaxation at high frequencies. The changes in the molecular dynamics observed as the liquid binary mixture at 298 K gradually became a vitrified solid at 393.2 K are expressed in terms of a decrease in the configurational entropy.

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 score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry BSame topicMaterial Dynamics and PropertiesFrench-language works237,207