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Record W2034364553 · doi:10.1021/om990830p

A Density Functional Study of Ion-Pair Formation and Dissociation in the Reaction between Boron- and Aluminum-Based Lewis Acids with (1,2-Me<sub>2</sub>Cp)<sub>2</sub>ZrMe<sub>2</sub>

2000· article· en· W2034364553 on OpenAlexaff
Kumar Vanka, Mary S. W. Chan, Cory C. Pye, Tom Ziegler

Bibliographic record

VenueOrganometallics · 2000
Typearticle
Languageen
FieldChemistry
TopicOrganoboron and organosilicon chemistry
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChemistryLewis acids and basesTolueneDissociation (chemistry)IonBoronMedicinal chemistryCounterionStandard enthalpy of formationCatalysisCrystallographyPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Calculations have been carried out on the reaction between the olefin polymerization precatalyst (1,2-Me 2 Cp) 2 ZrMe 2 (P) and a number of Lewis acids (A) to form the methide-bridged (contact) ion pair (1,2-Me 2 Cp) 2 ZrMe(μ-Me)A ( I; P + A → I + Δ H ipf ). This is the first step in the activation of P to becoming an olefin polymerization catalyst. The calculated enthalpies of formation (Δ H ipf ) for I were as follows (A, Δ H ipf in kcal/mol): B(C 6 F 5 ) 3 ( 1a ), −23.8; B(C 6 F 5 ) 2 (C 6 H 3 F 2 ) ( 1b ), −21.5; B(C 6 F 5 ) 2 (C 6 H 5 ) ( 1c ), −18.3; B(C 6 F 5 ) 2 (C 6 H 3 (CH 3 ) 2 ( 1d ), −18.0; B(C 6 H 5 ) 3 ( 1e ), −6.7; B(C 10 F 7 ) 3 ( 1f ), −25.8; (MeAlO) 6 ( 2a ), −15.9; (MeBO) 6 ( 2b ), −22.3; AlMe 3 ( 2c ), −8.1; Al(C 6 F 5 ) 3 ( 2d ), −30.8. The charge separation between the (1,2-Me 2 Cp) 2 ZrMe + and AMe - fragments in I was calculated for all A, and it was found that the charge separation as well as −Δ H ipf increases through the series 1e, 1c, 1b, and 1a with the number of fluorine atoms. A good activating Lewis acid (A) has the equilibrium shifted strongly from P and A toward I, and this is the case for all A except 1e and 2c. Also considered was the complete dissociation in solution (toluene) of I into the counterions [(1,2-Me 2 Cp) 2 ZrMe] + and AMe - with the dissociating enthalpy Δ H ips as well as the formation from I of the solvent-separated ion pair (S = toluene) [(1,2-Me 2 Cp) 2 ZrMe] + −S−[AMe] - with the reaction enthalpy Δ H ss . The two types of separation processes have both been postulated as the second and final steps in the activation of P. The calculated values are as follows (A, Δ H ips and Δ H ss in kcal/mol): 1a, 38.0, 18.7; 1f, 43.6, 18.9; 2a, 57.0, 32.4; 2b, 46.9, 35.3; 2c, 69.2, 35.3; 2d, 48.3, 20.6. It is concluded that the formation of [(1,2-Me 2 Cp) 2 ZrMe] + −S−[AMe] - is the more likely separation process. Consideration has also been given to the influence of solvent polarity on the separation process, with S = toluene, chlorobenzene, and 1,2-dichlorobenzene. Finally discussed are Δ H ips and Δ H ss for the ion pair [(1,2-Me 2 Cp) 2 ZrMe] + [A] - ( III ‘); A - = B(C 6 F 5 ) 4 - ( 3a ), Al(C 6 F 5 ) 4 - (3b ), [(C 2 B 9 H 11 ) 2 Co] - ( 3c ), and { t BuCH 2 CH[B(C 6 F 5 ) 2 ]H} - ( 3d )), where III ‘ is formed from the reaction of P with the activator [CPh 3 + ][A - ]. Here the calculated values are as follows (A -, Δ H ips and Δ H ss in kcal/mol): 3a, 22.1, −4.2; 3b, 26.2, 0.7; 3c, 34.9, 7.5; 3d, 26.7, −0.5. It is found that III type ion pairs are easier to dissociate than I held together by a methide bridge.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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 designSimulation or modeling
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

Citations109
Published2000
Admission routes1
Has abstractyes

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