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Record W2009759138 · doi:10.1103/physrevb.78.115412

Nucleation and growth of tetracene films on silicon oxide

2008· article· en· W2009759138 on OpenAlexafffund
Jianwei Shi, X. R. Qin

Bibliographic record

VenuePhysical Review B · 2008
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTetraceneNucleationMaterials scienceMonolayerEvaporationChemical physicsOxideSiliconThin filmAtomic force microscopyDiffusionVacuum evaporationNanotechnologyCondensed matter physicsMoleculeOptoelectronicsThermodynamicsChemistryPhysics

Abstract

fetched live from OpenAlex

Tetracene film growth on ${\text{SiO}}_{2}$ at room temperature via vacuum evaporation has been studied using ex situ atomic force microscopy. We demonstrate that tetracene films of layered morphology and good connectivity can be achieved on ${\text{SiO}}_{2}$ under favorable growth conditions. Island size distribution analysis shows that tetracene nucleation in the optimal growth is diffusion mediated with a smallest stable cluster consisting of four molecules (i.e., the critical island size $i=3$). The film stability is sensitive to the film thickness. Postgrowth film structural evolution occurs on the time scale of minutes for the films at coverage less than three monolayers, while stable films become evident at coverage higher than three monolayers.

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 score0.033
Threshold uncertainty score0.231

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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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

Citations25
Published2008
Admission routes2
Has abstractyes

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