Proof-Of-Principle Experiments for Phz Nano-Device Using Semi-Metallization of Dielectrics under Strong Optical Fields
Bibliographic record
Abstract
Ultrafast charge transport and control by electromagnetic fields in semiconductors is an ever-growing demand for faster signal processing.Fascinating avenues for new phenomena and applications in solids has been opened by intense optical fields.The current switching and its control by an optical field may pave a way to PHz optoelectronic devices.Reversible semi-metallization in fused silica on a femtosecond time scale has been demonstrated by Schiffrin et.al. (Nature 493 70-74 (2013)).Wider spread of this technology demands better understanding of whether the strong field behavior is universally similar for different dielectrics.Here we demonstrate the universality of the physical picture explained by the localization of Wannier-Stark states.A carrier-envelope-phase stabilized, few-cycle strong optical field was employed to drive the semimetallization in sapphire, calcium fluoride and quartz.The comparison between these materials show its remarkable similarity in response of these materials, despite the significant differences in their physical properties.Our results pave the way toward PHz-rate optoelectronics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".