Self-aligned inkjet printing of highly conducting gold electrodes with submicron resolution
Bibliographic record
Abstract
Self-aligned printing is a recently developed bottom-up printing technique which utilizes the unique droplet motion on heterogeneous surfaces to define sub-100-nm critical features and surpasses the resolution which can commonly be achieved by direct printing by two orders of magnitude. Here we extend this method, which was originally implemented with conductive polymer inks, to fabrication of functional conductive nanostructures with gold nanoparticle ink. We also designed a configuration where the ink was printed between two lithographically defined patterns to facilitate the study of the channel formation. Channel lengths from 4μm down to 60nm were achieved by controlling the surface tension and drying time of the ink. A fluid dynamical model is presented to explain the mechanism by which the channel forms in the self-aligned printing technique. Field-effect transistors fabricated using gold self-aligned printed source-drain electrodes exhibit significantly improved output currents than those using conducting polymers. Unambiguous evidence for the submicrometer channel dimension is obtained by imaging the potential drop along the channel using scanning Kelvin probe microscopy.
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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 | 0.001 |
| 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 | 0.000 | 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".