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Record W2602046076 · doi:10.1039/c7dt00546f

Borane-catalysed postpolymerisation modification of the Si–H bonds in poly(phenylsilane)

2017· article· en· W2602046076 on OpenAlexafffund
P. T. K. Lee, Lisa Rosenberg

Bibliographic record

VenueDalton Transactions · 2017
Typearticle
Languageen
FieldChemistry
TopicOrganoboron and organosilicon chemistry
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British Columbia
KeywordsPhenylsilanePolysilaneBoraneCatalysisHydrosilylationChemistryAmmonia boraneChemoselectivityPolymer chemistryOrganic chemistryMaterials sciencePhotochemistryDehydrogenationPolymer

Abstract

fetched live from OpenAlex

-catalysed hydrosilation, heterodehydrocoupling, and demethanative coupling reactions of the Si-H bonds in poly(phenylsilane) allow the introduction of 10-40% new sidechains in this polymer. The resulting new polymers contain an unusually wide variety of functionalities including Si-C, Si-O, Si-N, and Si-S bonds, whose presence is confirmed by NMR and IR spectroscopies. Gel permeation chromatography (GPC) and thermogravimetric analysis (TGA) are consistent with conservation of the all-silicon backbones in these modified polymers, a result of the high chemoselectivity of the borane-catalysed reactions for Si-H versus Si-Si bonds. UV-visible spectroscopy is sensitive to the presence of new functional groups in the modified polysilanes, although the high proportion of residual Si-H groups attenuates the changes in the σ-delocalized chromophores. Limitations in substrate scope, arising from issues of borane-substrate complexation or competing catalytic over-reduction chemistry, have been identified, and the potential for achieving greater degrees of sidechain substitution at higher reaction temperatures has been demonstrated for the hydrosilation of 1-hexene.

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)0.000
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 science0.0010.000
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 head0.020
GPT teacher head0.261
Teacher spread0.241 · 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

Citations22
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueDalton TransactionsSame topicOrganoboron and organosilicon chemistryFrench-language works237,207