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Record W2074328505 · doi:10.1021/jp902126b

Pentacene Binds Strongly to Hydrogen-Terminated Silicon Surfaces Via Dispersion Interactions

2009· article· en· W2074328505 on OpenAlexaff
Gino A. DiLabio, Erin R. Johnson, Jason Pitters

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2009
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsNational Institute for Nanotechnology
Fundersnot available
KeywordsPentaceneScanning tunneling microscopeSiliconChemical physicsDispersion (optics)Diffusion barrierDiffusionMaterials scienceSurface diffusionDensity functional theoryHydrogenDipoleQuantum tunnellingNanotechnologyMolecular physicsChemistryComputational chemistryPhysical chemistryOptoelectronicsPhysicsOpticsThermodynamicsAdsorptionOrganic chemistry

Abstract

fetched live from OpenAlex

Understanding the interaction of organic molecules with clean and hydrogen-terminated silicon surfaces is important for the development of hybrid structures with interesting electronic properties. Previous theoretical work has predicted that pentacene, an important molecule for organic electronics, is bound to hydrogen-terminated silicon(100)-2×1 by less than 6.5 kcal/mol and has a barrier to diffusion on the surface of ∼0.23 kcal/mol. This low barrier to diffusion is apparently supported by scanning tunneling microscopy observations. By means of density-functional theory with newly developed dispersion-correcting potentials, we predict that pentacene is bound to H−Si(100)-2×1 terraces by 17.4 kcal/mol. This strong binding is supported by evaluations of dispersion using an exchange-hole dipole model. The low binding of pentacene predicted in the previous theoretical studies is likely the result of the neglect of the contributions of silicon in the evaluation of dispersion binding. Our calculations also predict that barriers to diffusion of pentacene on H−Si(100)-2×1 terraces are on the order of 2−3 kcal/mol, depending on the diffusion direction. These findings are fully consistent with the earlier scanning tunneling microscopy studies if the effects of inelastic tunneling are taken into account.

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 score0.030
Threshold uncertainty score0.299

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 head0.004
GPT teacher head0.223
Teacher spread0.219 · 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

Citations12
Published2009
Admission routes1
Has abstractyes

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