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Record W2015973645 · doi:10.1021/om000872+

Nickel Indenyl Complexes as Catalysts for the Dimerization and Polymerization of Ethylene

2001· article· en· W2015973645 on OpenAlexaff
Marc‐André Dubois, Ruiping Wang, Davit Zargarian, Jun Tian, Rainer Vollmerhaus, Zengmin Li, Scott Collins

Bibliographic record

VenueOrganometallics · 2001
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversité de MontréalUniversity of Waterloo
Fundersnot available
KeywordsChemistryNickelCatalysisEthylenePolymerizationPolymer chemistryOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

The nickel indenyl compounds Ind(PR 3 )Ni-X (Ind = indenyl and its substituted derivatives; R = Ph, Cy, Me; X = Cl, Me, CCPh) can dimerize and/or polymerize ethylene in the presence of suitable activators. For example, poly(methylaluminoxanes) (PMAO) combine with these Ni precursors to produce catalytically active species for both the dimerization and polymerization of ethylene. The polymers obtained from these reactions are mostly linear polyethylenes which contain a small number of ethyl branches and exhibit molecular weights in the range of M w = 10 5 ( M w / M n ca. 2). On the other hand, using activators such as AgBF 4, AlCl 3, and B(C 6 F 5 ) 3 leads to the exclusive formation of butenes. It is proposed that the latter activators convert the Ni precursors to the highly electrophilic cations [IndNi(PR 3 )] +, which efficiently catalyze the dimerization of ethylene to butenes; in contrast, Ni/PMAO combinations give both the aforementioned cationic species as well as neutral species bearing a Ni(μ-Me)Al core, which is thought to be the active site for the polymerization 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.015
GPT teacher head0.242
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations43
Published2001
Admission routes1
Has abstractyes

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