Ferroelectricity in Polar ScAlN/GaN Epitaxial Semiconductor\n Heterostructures
Bibliographic record
Abstract
Room temperature ferroelectricity is observed in lattice-matched ~18%\nScAlN/GaN heterostructures grown by molecular beam epitaxy on single-crystal\nGaN substrates. The epitaxial films have smooth surface morphologies and high\ncrystallinity. Pulsed current-voltage measurements confirm stable and\nrepeatable polarization switching in such ferroelectric/semiconductor\nstructures at several measurement conditions, and in multiple samples. The\nmeasured coercive field values are Ec~0.7 MV/cm at room temperature, with\nremnant polarization Pr~10 {\\mu}C/cm2 for ~100 nm thick ScAlN layers. These\nvalues are substantially lower than comparable ScAlN control layers deposited\nby sputtering. Importantly, the coercive field of MBE ScAlN is smaller than the\ncritical breakdown field of GaN, offering the potential for low voltage\nferroelectric switching. The low coercive field ferroelectricity of ScAlN on\nGaN heralds the possibility of new forms of electronic and photonic devices\nwith epitaxially integrated ferroelectric/semiconductor heterostructures that\ntake advantage of the GaN electronic and photonic semiconductor platform, where\nthe underlying semiconductors themselves exhibit spontaneous and piezoelectric\npolarization.\n
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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) | 0.000 | 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".