Microfabrication and Integration of Diazonium-Based Aromatic Molecular Junctions
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".