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Record W2013872101 · doi:10.1021/om0497792

C<sub>6</sub>F<sub>5</sub>-Group Transfer from [MeB(C<sub>6</sub>F<sub>5</sub>)<sub>3</sub>]<sup>-</sup> to the Metal Center of L<sub>2</sub>MMe<sup>+</sup> (M = Ti, Zr) as a Deactivation Pathway in Olefin Polymerization Catalysis:  A Combined Density Functional Theory and Molecular Mechanics Investigation

2004· article· en· W2013872101 on OpenAlexafffund
Tebikie Wondimagegn, Zhitao Xu, Kumar Vanka, Tom Ziegler

Bibliographic record

VenueOrganometallics · 2004
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryArylZirconiumCatalysisMetalCationic polymerizationTitaniumMedicinal chemistryElectron transferSteric effectsCenter (category theory)Group (periodic table)StereochemistryPolymer chemistryCrystallographyPhysical chemistryInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

We have carried out a combined density functional theory and molecular mechanics study of aryl group transfer reactions from [MeB(C 6 F 5 ) 3 ] - to the metal center of L 2 MMe + (M = Ti, Zr). This reaction, which produces L 2 MMe(C 6 F 5 ) and MeB(C 6 F 5 ) 2, is a possible deactivation pathway in metal-catalyzed single-site olefin polymerization. The cationic catalyst systems L 2 MMe + include (NPR 3 ) 2 MMe +, (Cp)(NPR 3 )MMe +, (Cp)(NCR 2 )MMe +, (Cp)(SiMe 2 NR)MMe +, and (Cp)(OSiR 3 )MMe + . With M = Ti and Zr, the results show that aryl group transfer is more facile for zirconium catalysts than for the corresponding titanium systems. Furthermore, electron-donating ligands and sterically demanding substituents play a crucial role in preventing the aryl transfer reaction. The aryl group transfer is likely to take place for (Cp)(NCR 2 )MMe + with both titanium- and zirconium-ketimide complexes at about 100 °C. However, the decomposition temperature is raised to 250 °C for the corresponding (Cp*)(NCR 2 )TiMe + system.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
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 score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.006
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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; both teacher heads agree on what is shown here.

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

Citations38
Published2004
Admission routes2
Has abstractyes

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