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Record W2104533507 · doi:10.1021/am100833e

Microfabrication and Integration of Diazonium-Based Aromatic Molecular Junctions

2010· article· en· W2104533507 on OpenAlexaff
Jie Ru, Bryan Szeto, Andrew P. Bonifas, Richard L. McCreery

Bibliographic record

VenueACS Applied Materials & Interfaces · 2010
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsNational Research Council CanadaNational Institute for NanotechnologyUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceMicrofabricationNanotechnologyFabrication

Abstract

fetched live from OpenAlex

Microfabrication techniques common in commercial semiconductor manufacturing were used to produce carbon/nitroazobenzene/Cu/Au molecular junctions with a range of areas from 3×3 to 400×400 μm, starting with 100-mm-diameter silicon wafers. The approach exhibited high yield (90-100%) and excellent reproducibility of the current density (relative standard deviation of typically 15%) and 32 devices on a chip. Electron-beam-deposited carbon films are introduced as substrates and may be applied at the full wafer level before dicing and electrochemical deposition of the molecular layer. The current scaled with the device area over a factor of >600, and the current density was quantitatively consistent with structurally similar molecular junctions made by other techniques. The current densities were weakly dependent on temperature over the range of 100-390 K, and maximum current densities above 400 A/cm2 were observed without breakdown. To simulate processing and operation conditions, the junction stability was tested at elevated temperatures. The JV curves of microfabricated junctions were unchanged after 22 h at 100 °C. A ∼50% increase in the current density was observed after 20 h at 150 °C but then remained constant for an additional 24 h. Parallel fabrication, thermal stability, and high yield are required for practical applications of molecular electronics, and the reported results provide important steps toward integration of molecular electronic devices with commercial processes and devices.

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 score0.004
Threshold uncertainty score0.484

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 head0.194
Teacher spread0.190 · 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

Citations49
Published2010
Admission routes1
Has abstractyes

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