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Record W2054210664 · doi:10.1021/om049545i

Use of Computational and Synthetic Chemistry in Catalyst Design:  A New Family of High-Activity Ethylene Polymerization Catalysts Based on Titanium Tris(amino)phosphinimide Complexes

2004· article· en· W2054210664 on OpenAlexaff
C. Beddie, E. Hollink, Pingrong Wei, James W. Gauld, Douglas W. Stephan

Bibliographic record

VenueOrganometallics · 2004
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsChemistryPolymerizationCatalysisTitaniumEthyleneTrisPolymer chemistryCombinatorial chemistryOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

DFT calculations of the mechanism of polymerization for the series of catalyst models derived from CpTiMe 2 (NPR 3 ) (R = Me, NH 2, H, Cl, F) demonstrate the critical role of ion pairing in determining the overall barrier to polymerization and suggest that electron-donating substituents reduce this barrier. Based on these results, a family of precatalysts of general formula Cp‘TiX 2 (NP(NR 2 ) 3 ) (X = Cl, Me) were developed. This approach using computational methods to guide the synthetic efforts has afforded a new, readily accessible, and easily varied family of highly active ethylene polymerization catalysts based on titanium tris(amino)phosphinimide complexes.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.031
GPT teacher head0.225
Teacher spread0.194 · 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

Citations40
Published2004
Admission routes1
Has abstractyes

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