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Record W2900947605 · doi:10.1002/chem.201803582

Phosphorus‐Containing Block Copolymers from the Sequential Living Anionic Copolymerization of a Phosphaalkene with Methyl Methacrylate

2018· article· en· W2900947605 on OpenAlexafffund
Leixing Chen, Benjamin W. Rawe, K. Adachi, Derek P. Gates

Bibliographic record

VenueChemistry - A European Journal · 2018
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCopolymerMethyl methacrylateMonomerPolymer chemistryPolymerizationIsomerizationAnionic addition polymerizationLiving anionic polymerizationLiving polymerizationMethacrylateGlass transitionMaterials scienceChemistryPolymerOrganic chemistryRadical polymerizationCatalysis

Abstract

fetched live from OpenAlex

Abstract Although living polymerization methods are widely applicable to organic monomers, their application to inorganic monomers is rare. For the first time, we show that the living poly(methylenephosphine) ( PMP n − ) anion can function as a macroinitiator for olefins. Specifically, the phosphaalkene, MesP=CPh 2 ( PA ), and methyl methacrylate (MMA) can be sequentially copolymerized using the BnLi‐TMEDA initiator system in toluene. A series of PMP n ‐ b ‐PMMA m copolymers with narrow dispersities are accessible ( Đ =1.05–1.10). Analysis of the block copolymers provided evidence for ‐P‐CPh 2 ‐CH 2 ‐CMe(CO 2 Me)‐ switching groups. Importantly, this indicates that the ‐P‐CPh 2 − anion directly initiates the anionic polymerization of MMA and stands in stark contrast to the isomerization mechanism followed for the homopolymerization of PA . For the first time, the glass transition of a PMP n homopolymer has been measured ( T g =45.1 °C, n= 20). The PMP n ‐ b ‐PMMA m copolymers do not phase separate and show a single T g which increases with higher PMMA content.

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 categoriesInsufficient payload (model declined to judge)
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 score0.022
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0220.000

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 head0.013
GPT teacher head0.215
Teacher spread0.201 · 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.

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

Citations14
Published2018
Admission routes2
Has abstractyes

Explore more

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