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Record W2316492716 · doi:10.1021/jp108174b

Lewis Acidity of Pt-Doped Buckybowls, Fullerenes, and Single-Walled Carbon Nanotubes

2011· article· en· W2316492716 on OpenAlexaff
Charles S. Yeung, Yan Alexander Wang

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2011
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLewis acids and basesFullereneChemistryCatalysisAlkylDelocalized electronSelectivityCarbon nanotubeDensity functional theoryComputational chemistryPolymer chemistryOrganic chemistryMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

The Lewis acidic character of alkyl- and arylplatinum complexes has been investigated within density functional theory with an emphasis on supramolecular structures (e.g., buckybowls, fullerenes, and nanotubes) doped with Pt atoms. By selective substitution of a single atom within a larger carbon framework with a Pt atom, the resulting species demonstrate a strong preference for interaction with small organic molecules, particularly polar substances via a Lewis acid/Lewis base complexation. Coordination with CO and maleic anhydride offers a gauge of comparing the Lewis acidity of these alkyl- and arylplatinum complexes. We have also examined the use of these organometallic species as catalysts for the Diels−Alder reaction and have found that curved π-conjugation and delocalization of electrons offer modest rate enhancements and improvements in selectivity. Preliminary results suggest that extended molecular architectures such as Pt-doped nanotubes may provide selectivities that differ from that of traditional Lewis acid catalysts.

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 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 score0.030
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.031
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.

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

Citations8
Published2011
Admission routes1
Has abstractyes

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