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Record W2006863928 · doi:10.1021/ic9013587

H<sub>2</sub> Activation by a (PNP)Ir(C<sub>6</sub>H<sub>5</sub>) Complex via the Dearomatization/Aromatization Process of the PNP Ligand: A Computational Study

2009· article· en· W2006863928 on OpenAlexaff
Guixiang Zeng, Yong Guo, Shuhua Li

Bibliographic record

VenueInorganic Chemistry · 2009
Typearticle
Languageen
FieldChemistry
TopicAsymmetric Hydrogenation and Catalysis
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsChemistryHydrideLigand (biochemistry)ProtonationDihydrogen complexStereochemistryMetalReaction mechanismDensity functional theoryComputational chemistryMedicinal chemistryCatalysisOrganic chemistry

Abstract

fetched live from OpenAlex

Density functional theory calculations have been carried out to explore the mechanism of the H(2) activation by the (PNP)Ir(C(6)H(5)) complex. Our calculations show that the reaction is most likely to go though three steps. The first step (also the rate-determining step) involves the proton transfer from the benzylic position of the PNP ligand to the metal center to form an Ir(III) hydride intermediate, accompanied by the dearomatization of the PNP ligand. Second, H(2) is coordinated to the metal of this Ir(III) intermediate to form a molecular hydrogen complex. Finally, the H-H bond is heterolytically cleaved to produce the final trans-dihydride product, in which the benzylic carbon is protonated, and the PNP ligand is rearomatized. Thus, the H(2) activation by the Ir(I) complex actually involves an Ir(III) hydride complex as a key intermediate. The Ir center and the PNP ligand cooperate in a synergistic manner in the H(2) activation process. The above molecular mechanism could provide reasonable explanations for known experimental facts.

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)0.001
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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

Citations47
Published2009
Admission routes1
Has abstractyes

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