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Record W2069985228 · doi:10.1021/jp802762q

Self-assembly of Rubrene on Copper Surfaces

2008· article· en· W2069985228 on OpenAlexaff
Jill A. Miwa, Fabio Cicoira, Stéphane Bedwani, Josh Lipton‐Duffin, Dmitrii F. Perepichka, Alain Rochefort, Federico Rosei

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldEngineering
TopicSurface Chemistry and Catalysis
Canadian institutionsRegroupement Québécois sur les Matériaux de PointeInstitut National de la Recherche ScientifiquePolytechnique MontréalUniversité du Québec à Montréal
Fundersnot available
KeywordsRubreneScanning tunneling microscopeDensity functional theoryCopperOrganic semiconductorMoleculeSubstrate (aquarium)Materials scienceAdsorptionChemical physicsCrystallographyComputational chemistryChemistryNanotechnologyOptoelectronicsPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

We report a detailed investigation of the self-assembly of the organic semiconductor rubrene on low-index (100) and (110) facets of copper by scanning tunneling microscopy (STM) and supported by density functional theory (DFT) calculations. Rubrene adsorbs in orientations depending on substrate symmetry, resulting in different self-assembled motifs. STM images point to an asymmetric adsorption geometry, and DFT calculations further suggest that the molecule adsorbs in a twisted conformation.

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 score0.027
Threshold uncertainty score0.351

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 integrity0.0000.000
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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

Citations32
Published2008
Admission routes1
Has abstractyes

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