Characterisation of the influence of substrate oxidation on spintronic terahertz emitters
Bibliographic record
Abstract
We investigate the effect of surface oxide contamination on the terahertz (THz) emission via the inverse spin Hall effect from spintronic Fe/Pt bilayers pumped using femtosecond laser pulses. The metallic films were grown on Si and quartz substrates, both with and without a 300 nm Al2O3 spacer layer. The presence of the Al2O3 layer between the substrate and the metallic films results in a 350% increase in the measured THz electric field in the case of Si substrates, while an increase of 10% is observed when using quartz substrates. X-ray photoelectron spectroscopy (XPS) is used to gain insight into the elemental composition of the emitters, and the presence and intensity of iron oxide peaks explains the difference in the emitted THz signals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".