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Record W4396645500 · doi:10.1021/acs.macromol.4c00584

Fluorinated Pyridine Aryl Ether Polymers with Defined Microstructures, Diverse Architectures, and Tunable Thermal Properties

2024· article· en· W4396645500 on OpenAlexaff
Nicholas W. Surina, Katelyn D. Thompson, Nathan J. Weeks, Chadron M. Friesen, Scott T. Iacono

Bibliographic record

VenueMacromolecules · 2024
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsTrinity Western UniversityWestern University
FundersAir Force Research LaboratoryAir Force Office of Scientific ResearchDefense Threat Reduction Agency
KeywordsNucleophilic aromatic substitutionArylMonomerGlass transitionEtherPyridinePolymerChemistryBisphenolPolymer chemistryPolymerizationStep-growth polymerizationNucleophilic substitutionRegioselectivityOrganic chemistryAlkyl

Abstract

fetched live from OpenAlex

By utilizing the unique regioselective nucleophilic aromatic substitution (SNAr) of pentafluoropyridine with bisphenols, a series of 4-substituted tetrafluoropyridine (TFP) aryl ether monomers were prepared in nearly quantitative yields from a facile, base-promoted methodology. Sequential regioselective SNAr of TFP monomers with bisphenols afforded linear amorphous, solution-processable fluorinated pyridine aryl ether polymers as well as networks. Room-temperature kinetic experiments using 19 F NMR revealed high-molecular-weight polymers with nearly quantitative conversions. By the nature of the bisphenol substitution and its electronic effects, the polymer microstructure was tuned for a broad range of glass transition temperatures for optically transparent materials. This work will provide insights into synthetic routes toward TFP monomers, step-growth polymerization kinetics, molecular weight determination, and thermal properties.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.201
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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