MétaCan
Menu
Back to cohort
Record W2617358677 · doi:10.1002/chem.201701728

Self‐Assembly of Di‐N‐Heterocyclic Carbene‐Gold‐Adorned Corannulenes on C<sub>60</sub>

2017· article· en· W2617358677 on OpenAlexaff
Carmen Mejuto, Luis Escobar, Gregorio Guisado‐Barrios, Pablo Ballester, Dmitry G. Gusev, Eduardo Peris

Bibliographic record

VenueChemistry - A European Journal · 2017
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsWilfrid Laurier University
FundersSecretaría de Estado de Investigación, Desarrollo e InnovaciónUniversität ZürichUniversitat Jaume ITianjin University
KeywordsCorannuleneChemistryFullereneTolueneDeprotonationCarbeneMoleculeTitrationStoichiometryCrystallographyComputational chemistryInorganic chemistryOrganic chemistryIonCatalysis

Abstract

fetched live from OpenAlex

Abstract The deprotonation of a corannulene‐based bisazolium salt allowed the preparation of a corannulene‐based NHC di‐Au I complex. The prepared di‐Au I ‐complex was tested in the recognition of fullerene‐C 60 , demonstrating good binding affinity in toluene solution, and producing a host–guest complex with 3:1 stoichiometry, as evidenced by a combination of NMR spectroscopy and ITC titrations. The experimental results are fully supported by DFT calculations. The binding of C 60 with the di‐Au I complex in toluene solution is enthalpically and entropically favoured. Remarkably, the entropic term is the dominant parameter in the binding process. The good complementarity that exists between the concave shape of the corannulene‐di‐gold complex and the convex surface of the fullerene, together with the presence of t Bu groups and the AuCl fragment are key factors for the measured high affinity between host and guest. The obtained results indicate that fullerene may be acting as a template for the formation of a self‐assembled aggregate involving up to three molecules of the di‐Au I complex.

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)
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 score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.020
GPT teacher head0.238
Teacher spread0.219 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueChemistry - A European JournalSame topicFullerene Chemistry and ApplicationsFrench-language works237,207