Potential High-Speed Switching Nano-Device with Sub-Nanometer Gaps
Bibliographic record
Abstract
We investigate the electrical response of a device with sub-nanometer gaps, which potentially can be used as an ultrafast optical switch. In todays electronics, semiconductor devices at best have a picosecond response time. Making structural change is one way to achieve faster electronics. The Coulomb blockade effect in tunnel junctions can reproduce a highly nonlinear response current, which is required for a switch. However, a tiny capacitance is necessary for a femtosecond time constant. A sub-nanometer gap with a small surface area can satisfy both of these conditions. The nonlinear optical switching behavior of a sub-nanometer gap has been observed experimentally [1]. It is a potential candidate for an effective and low-cost switch with high speed operation. We fabricated a gold on silicon sample with sub-nanometer gaps filled by self-assembled monolayer and then we illuminated it with a femtosecond pulsed laser. We recorded the dark current and photocurrents of the sample with different incident powers. This experimental report can pave the way for harnessing high-speed switching in nanodevices with sub-nanometer gaps.
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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 | 0.000 | 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".