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Record W1994109421 · doi:10.1063/1.3189176

Energy-level alignment and charge injection at metal/C60/organic interfaces

2009· article· en· W1994109421 on OpenAlexaff
Z. B. Wang, Michael G. Helander, Mark Greiner, J. Qiu, Zheng‐Hong Lu

Bibliographic record

VenueApplied Physics Letters · 2009
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUltraviolet photoelectron spectroscopyX-ray photoelectron spectroscopyMaterials scienceOrganic semiconductorDipoleFermi levelUltravioletCharge (physics)MetalPhotoemission spectroscopyFullereneAtomic physicsChemical physicsOptoelectronicsAnalytical Chemistry (journal)ChemistryNuclear magnetic resonancePhysics

Abstract

fetched live from OpenAlex

The energy-level alignment and charge injection at metal/C60/organic interfaces have been studied by ultraviolet photoelectron spectroscopy and temperature dependent current-voltage (IV) measurements. It is found that the Fermi level at the interface is pinned to ∼4.7eV by adsorbed C60 molecules on the metal surface, resulting in more favorable energy level alignment for charge injection. The findings are in excellent agreement with interface dipole theory derived from traditional semiconductor physics.

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 score0.035
Threshold uncertainty score0.612

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 head0.006
GPT teacher head0.174
Teacher spread0.168 · 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

Citations28
Published2009
Admission routes1
Has abstractyes

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