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Record W2139927405 · doi:10.1002/pssb.201451354

CuPc:C<sub>60</sub> nanocomposite: A pathway to control organic microstructure and phase transformation

2014· article· en· W2139927405 on OpenAlexafffund
Taylor J. Z. Stock, Tolu Ogundimu, J.‐M. Baribeau, Zheng‐Hong Lu, J. Nogami

Bibliographic record

Venuephysica status solidi (b) · 2014
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsNational Research Council CanadaUniversity of Toronto
FundersOntario Centres of Excellence
KeywordsScanning tunneling microscopeMaterials scienceThermal stabilityNanocompositeThin filmScanning electron microscopeStackingMicrostructurePhase (matter)FullereneCrystallographyChemical engineeringAnalytical Chemistry (journal)NanotechnologyChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Growth and thermal behavior of copper‐phthalocyanine (CuPc) and fullerene (C 60 ) organic nanocomposite thin films, grown on SiO 2 and Cu(111) surfaces, have been studied using scanning electron microscopy, X‐ray diffraction (XRD) and scanning tunneling microscopy (STM). It is found that the growth of pure CuPc organic thin films follows an island‐type growth mode. The island formation is found to be dramatically suppressed by the inclusion of C 60 during deposition. XRD and STM studies reveal that the CuPc molecular packing is altered upon C 60 inclusion, producing disordered CuPc–C 60 interfaces. The ordered molecular stacking of CuPc is found to be disrupted completely when C 60 concentration reaches 30 wt.%. The thermal stability of the CuPc thin film has been significantly improved upon C 60 inclusion. It is suggested that the molecular diffusion kinetics rather than thermodynamics are responsible for the improved stability.

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 score0.025
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 integrity0.0000.000
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 head0.005
GPT teacher head0.223
Teacher spread0.218 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

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