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Record W2575562541 · doi:10.1002/9783527695959.ch7

Photochemical and Direct <scp>CH</scp> Arylation Routes toward Carbon Nanomaterials

2017· other· en· W2575562541 on OpenAlexaff
Jean‐François Morin, Maxime Daigle, Maude Desroches

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicSynthesis and Properties of Aromatic Compounds
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsChemistryNanomaterialsDehydrogenationCoroneneConjugated systemPhotochemistryIntramolecular forceCarbon fibersMoleculePolymerOrganic chemistryNanotechnologyMaterials scienceCatalysis

Abstract

fetched live from OpenAlex

This chapter presents a recent literature survey of both the intramolecular photochemical and direct CH arylation reactions to prepare polycyclic aromatic hydrocarbons (PAHs) and carbon nanomaterials fragments. The photochemical dehydrogenation, or Mallory reaction, is probably the most widely spread photochemical method for the preparation of carbon nanomaterials and PAHs. The chapter focuses on the synthesis of carbon nanomaterials and PAHs through photochemical dehydrogenation reaction, more specifically on the Mallory and Katz-modified Mallory photocyclization reactions. Recently, the Katz-modified reaction was used as a key step toward the synthesis of large PAHs, especially coronene derivatives. The direct CH arylation is a very popular synthetic method nowadays for the preparation of conjugated molecules, especially Π-conjugated polymers. The photochemical and direct CH arylation methods are leading examples of recent advances that will certainly contribute to broaden the PAHs family and improve their properties in regards to their use as active component in electronic devices.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.229
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2017
Admission routes1
Has abstractyes

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