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Record W2058891630 · doi:10.1021/ma900898m

Polymers of Intrinsic Microporosity Derived from Novel Disulfone-Based Monomers

2009· article· en· W2058891630 on OpenAlexaff
Naiying Du, Gilles P. Robertson, Ingo Pinnau, Michael D. Guiver

Bibliographic record

VenueMacromolecules · 2009
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsNational Research Council Canada
FundersU.S. Department of Energy
KeywordsCopolymerMonomerPolymer chemistryPolymerMicroporous materialHexafluorobenzeneMaterials scienceNitrileChemical engineeringChemistryOrganic chemistryBenzene

Abstract

fetched live from OpenAlex

The synthesis of three novel disulfone-based monomers from readily available hexafluorobenzene and thiols for the preparation of homopolymers and copolymers of intrinsic microporosity (PIMs) is described. The disulfonyl-based PIMs derived from 5,5′,6,6′-tetrahydroxy-3,3,3′,3′-tetramethylspirobisindane (TTSBI) with tetrafluoroterephthalonitrile (TFTPN) and disulfone-based monomers were prepared at high temperature (160 °C) within 1 h. Three new copolymers (monomer molar ratio of TTSBI and disulfone-based monomers = 3:1) show a good combination of properties, such as excellent film-forming characteristics and gas transport properties. Compared with a previously reported microporous nitrile-based homopolymer, referred to as PIM-1, the present sulfone-based copolymers have higher gas selectivities for O 2 /N 2 and CO 2 /N 2, while showing some reduction in pure-gas permeabilities. The relationship between the structure and gas permeation behavior of the copolymers is discussed.

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 score0.003

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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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

Citations143
Published2009
Admission routes1
Has abstractyes

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