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Record W2006388392 · doi:10.1021/om061058a

Termination and Transfer Reactions in the Group Transfer Polymerizations of Acrylates Catalyzed by Mononuclear Early d-Block and f-Block Metallocenes:  A DFT Study

2007· article· en· W2006388392 on OpenAlexaff
Simone Tomasi, Horst Weiß, Tom Ziegler

Bibliographic record

VenueOrganometallics · 2007
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChemistrySteric effectsCatalysisAcrylatePolymer chemistryPolymerizationMonomerBlock (permutation group theory)TacticityMolar mass distributionOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

The group transfer polymerization (GTP) of acrylates with early d-block and f-block metallocenium ester enolates suffers from side reactions, which cause the process not to be living, with a lack of control of the number-average molecular weight, molecular weight distribution, and tacticity, as well as an incomplete monomer conversion at low catalyst loadings. GTP of acrylates has so far met with limited success, due to the presence of a proton on the α-carbon, which provides low steric protection to the enolate in the unwanted backbiting reaction. Furthermore, the proton on the α-carbon is relatively acidic and therefore can be transferred. The computational study with the BP86 DFT functional of the backbiting and proton transfer reactions on realistic models for acrylate GTP provides detailed information on the mechanisms and hints on how to tailor the existing catalysts in order to minimize the unwanted side reactions.

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 categoriesMeta-epidemiology (narrow)
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 score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.219
Teacher spread0.210 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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