Layer Dependence and Point Defect for Sub-5 nm 2D Hydrogenated GaN Transistors
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Bibliographic record
Abstract
Silicon-based devices face intrinsic physical limitations in high-power and high-frequency applications due to their narrow bandgap and low breakdown strength. As an emerging postsilicon semiconductor, gallium nitride (GaN) offers significant advantages for next-generation high power electronics owing to its wide bandgap, high breakdown field strength, and outstanding radiation tolerance. In this work, we investigate the layer dependence and point defect of sub-5 nm hydrogenated GaN (H-GaN) transistors by ab-intio quantum transport simulation. The n-type H-GaN transistors with monolayer (ML), bilayer (BL), and trilayer (TL) channels all meet the ITRS on-state current targets. The ML devices yield the optimal performance with an I on of 2694 μA/μm, which exceeds those of the BL (2536 μA/μm) and TL (1974 μA/μm). Furthermore, atomic vacancy defects critically impact transport: for n-type ML devices, single N and Ga vacancies reduce I on from 2694 to 1242 and 5.72 μA/μm, respectively. Our work provides theoretical guidance for the miniaturization of future low-dimensional high-power GaN electronic devices.
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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) | 0.001 | 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 it