MétaCan
Menu
Back to cohort
Record W2019388991 · doi:10.1021/ma0109931

A Novel Synthetic Path to Arborescent Graft Polystyrenes

2001· article· en· W2019388991 on OpenAlexafffund
Jieming Li, Mario Gauthier

Bibliographic record

VenueMacromolecules · 2001
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolystyrenePolymer chemistryGraftingDispersityPolymerPolymerizationChemistryAnionic addition polymerizationBranching (polymer chemistry)StyreneMaterials scienceCopolymerSide chainOrganic chemistry

Abstract

fetched live from OpenAlex

A method for the preparation of arborescent polystyrenes based on acetyl coupling sites is described. The acetyl functionalities are randomly introduced on the grafting substrate by reacting polystyrene with acetyl chloride in the presence of anhydrous AlCl 3 in nitrobenzene. Anionic polymerization of styrene with sec -butyllithium yields polystyryllithium serving as side chains; coupling of the side chains with the acetylated substrate generates the graft polymers. Direct coupling of polystyryllithium with acetylated polystyrene suffers from a low grafting yield (∼65% for a linear substrate), due to deactivation of the macroanions by side reactions. End-capping of polystyryllithium with a few isoprene or 2-vinylpyridine units, along with the addition of LiCl, increases the grafting yield to >95%. Repetition of acetylation and anionic grafting cycles leads to generations of arborescent polymers with a low polydispersity index ( M w / M n = 1.07−1.09). The polymers are characterized by a very compact structure and by a branching functionality and molecular weight increasing geometrically for successive generations. Tailor-designed arborescent architectures are attainable by this “graft-on-graft” procedure, by controlling the acetylation level and the molecular weight of the side chains used for each grafting reaction.

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 score0.036
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.012
GPT teacher head0.239
Teacher spread0.226 · 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

Citations55
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueMacromoleculesSame topicDendrimers and Hyperbranched PolymersFrench-language works237,207