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Record W4281743517 · doi:10.1002/chem.202200809

On‐Surface Synthesis of Unsaturated Hydrocarbon Chains through C−S Activation

2022· article· en· W4281743517 on OpenAlexafffund
L. Giovanelli, Rémy Pawlak, Fatima Hussein, Oliver MacLean, Federico Rosei, Wentao Song, Corentin Pigot, Frédéric Dumur, Didier Gigmès, Y. Ksari, Federica Bondino, Elena Magnano, Ernst Meyer, Sylvain Clair

Bibliographic record

VenueChemistry - A European Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsInstitut National de la Recherche Scientifique
FundersHorizon 2020Aix-Marseille UniversitéHorizon 2020 Framework ProgrammeCanada Research ChairsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungSwiss Nanoscience InstituteCALIPSOplusEuropean CommissionJilin Normal UniversityAgence Nationale de la RechercheEuropean Research CouncilNational Science Foundation
KeywordsPentaleneAnnealing (glass)HydrocarbonPhotoemission spectroscopyGrapheneChemistryConjugated systemPhotochemistryMaterials scienceNanotechnologyChemical engineeringMoleculeX-ray photoelectron spectroscopyOrganic chemistry

Abstract

fetched live from OpenAlex

We use an on-surface synthesis approach to drive the homocoupling reaction of a simple dithiophenyl-functionalized precursor on Cu(111). The C-S activation reaction is initiated at low annealing temperature and yields unsaturated hydrocarbon chains interconnected in a fully conjugated reticulated network. High-resolution atomic force microscopy imaging reveals the opening of the thiophenyl rings and the presence of trans- and cis-oligoacetylene chains as well as pentalene units. The chemical transformations were studied by C 1s and S 2p core level photoemission spectroscopy and supported by theoretical calculations. At higher annealing temperature, additional cyclization reactions take place, leading to the formation of small graphene flakes.

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 categoriesInsufficient payload (model declined to judge)
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 score0.209
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.184
Teacher spread0.175 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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