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Record W2090598642 · doi:10.1021/jp802685j

Nanoscale Electrical and Structural Characterization of Gold/Alkyl Monolayer/Silicon Diode Junctions

2008· article· en· W2090598642 on OpenAlexaff
Marcus Aleksander Kuikka, Wenjie Li, K. L. Kavanagh, Hua‐Zhong Yu

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2008
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMonolayerMaterials scienceAlkylNanoscopic scaleTransmission electron microscopySiliconPenetration (warfare)DiodeNanotechnologyCrystallographyOptoelectronicsChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The effect of molecular modification on gold−silicon diode junctions has been investigated by electrical and structural measurements at both the macroscale and the nanoscale levels. Diode junctions prepared with Si−C bonded, organic monolayers on silicon and thermally evaporated gold contacts yield identical macroscale barrier heights and ideality factors, irrespective of the alkyl chain length and end group of the molecular layer. Electrical and structural measurements on the nanoscale level, using ballistic emission electron microscopy (BEEM) and cross-sectional transmission electron microscopy (TEM), indicate laterally uniform penetration of deposited gold atoms into n -alkyl monolayers (20 nm resolution), whereas inhibited penetration occurs for thiol-terminated monolayers on silicon. Average BEEM transmission is reduced via scattering associated with the presence of an organic monolayer, with the largest effects observed for the thiol-terminated system.

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 score0.023
Threshold uncertainty score0.271

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 head0.187
Teacher spread0.182 · 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

Citations39
Published2008
Admission routes1
Has abstractyes

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