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Record W2033641004 · doi:10.1021/op025519p

The Synthesis of Poly(arylene ether)s in Solution at Pilot-Plant Scale with Control over Molecular Weight and End-Group Composition

2002· article· en· W2033641004 on OpenAlexaff
Timothy P. Bender, Richard Burt, Gord K. Hamer, Christine DeVisser, Paul F. Smith, Marko Saban

Bibliographic record

VenueOrganic Process Research & Development · 2002
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsXerox (Canada)
Fundersnot available
KeywordsAryleneEtherComposition (language)Group (periodic table)Component (thermodynamics)Scale (ratio)Materials scienceChemistryPolymer chemistryOrganic chemistryArylPhysicsThermodynamics

Abstract

fetched live from OpenAlex

The lab-scale optimization and pilot-plant-scale synthesis of a poly(aryl ether ketone) is reported. The polymer produced had the desired properties of low molecular weight ( M w = 14−15 kD, M n = 6.3−6.5 kD), reasonable polydispersity (PD = 2.37−2.39), and well-defined controlled end groups. This has been accomplished using a one-step solution polymerization of 4,4‘-difluorobenzophenone (DFBP), bisphenol A (BPA), and 4- tert -butylphenol (tBP). The presence or absence of a stoichiometric amount of tBP in the polymerization reaction dictated whether the obtained polymer possessed exclusively a halide or a tert -butylphenol terminus. Simple variation of the ratio of difluorobenzophenone to BPA controls the molecular weight of the obtained polymer without affecting the polydispersity. Several other factors were examined to completely optimize the polymerization process: the replacement of 4,4‘-difluorobenzophenone with 4,4‘-dichlorobenzophenone as a cost-saving measure, the effect of temperature, and the effect of the concentration of the reactants.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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

Citations8
Published2002
Admission routes1
Has abstractyes

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Same venueOrganic Process Research & DevelopmentSame topicSynthesis and properties of polymersFrench-language works237,207