Impact of the Scaling of LGS and LG on the On-State Breakdown Voltage of InAlN/GaN HFETs With Localized Fin Under the Gate Electrode
Bibliographic record
Abstract
In this manuscript, we have investigated the impact of the scaling of the gate-source length (LGS) and gate length (LG) on the on-state breakdown voltage (BVon) of metallic-face InAlN/AlN/GaN heterostructure field effect transistors (HFETs) having fin structures only under the gate and those having them stretched from source to drain. The results show that the downscaling of LGS and LG augments the electron velocity in the source-access region. Due to current conservation, the higher carrier velocity in the source-access region for the devices having shorter LGS and LG induces a higher electron density under the gated-channel. From what is theoretically observed, the presence of higher electron density close to the boundary with the velocity saturation region at the drain edge of the gate in devices having shorter LGS and LG does seem to initiate the device breakdown at lower drain voltages, leading to the deterioration of the on-state breakdown voltage.
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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 | 0.001 |
| 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".