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Record W2592359554 · doi:10.1002/cjoc.201600615

High Glass Transition of Fluorinated Polyimides Derived from 4‐(3,4‐Difluorophenyl)‐2,6‐bis(4‐aminophenyl)pyridine

2017· article· en· W2592359554 on OpenAlexaff
Xu Xu, Beicai Chen, Hua Li, Xiaohua Huang, Chun Wei

Bibliographic record

VenueChinese Journal of Chemistry · 2017
Typearticle
Languageen
FieldMaterials Science
TopicSynthesis and properties of polymers
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGlass transitionChemistryPyridinePolymerAmorphous solidPolymer chemistryThermal decompositionUltimate tensile strengthMonomerThermogravimetric analysisContact angleAtmospheric temperature rangeComposite materialCrystallographyOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

Abstract A series of novel fluorinated polyimides ( PIs ) were prepared from 4‐(3,4‐difluorophenyl)‐2,6‐bis(4‐aminophenyl)pyridine ( FPAP ) and commercial aromatic dianhydrides via conventional two‐step thermal imidization technique. The structure of the monomer was confirmed by FT‐IR , NMR , and mass spectrometry. All of the obtained PIs were studied with FT‐IR , TGA , DSC , WAXD and contact angles analysis. These results showed that polymer materials presented excellent thermal properties with the glass transition temperature ( T g ) in the range of 336—434 °C, as well as T 5% , and T 10% decomposition temperature ranges of 543—600 °C and 562—622 °C in a nitrogen atmosphere, respectively. Moreover, they presented excellent mechanical properties with tensile strengths of 68—91 MPa , elongation at break of 5.6%—10.2%, and young's modulus of 1.8—2.4 GPa . Furthermore, they showed outstanding hydrophobicity with the contact angle in the range of 90.5°—96.6°, and the results of WAXD indicated all of the polymers presented amorphous structure.

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 head0.231
Teacher spread0.220 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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