Theoretical Evaluation of the Effects of Isolation-Feature Size and Geometry on the Built-In Strain and 2-D Electron Gas Density of AlGaN/GaN Heterostructures
Bibliographic record
Abstract
Using a commercial self-consistent Poisson-Schrödinger solver with the built-in possibility of allowing elastic energy minimization, the strain and the sheet charge density induced at the pseudomorphically grown Ga-face Wurtzite AlGaN/GaN heterojunctions are evaluated in the context of 3-D simulation of heterostructure field-effect transistor (HFET) epilayers etched into a variety of isolation-feature sizes and geometries. Through these studies and in the presence of surface states, the extent of the relevance of strain minimization in the vicinity of the unconstrained boundaries of isolation features of different degrees of roundness and perimeter-to-area ratio to threshold-voltage engineering is assessed. Although it is demonstrated that threshold-voltage shift caused by this induced strain minimization is smaller than the amount of shift levied by the depleting effect of the negatively charged states on the sidewall facets, it is shown that the reduction of the isolation-feature size is capable of substantially reducing the average trace of the stress tensor across such heterointerfaces. Considering the importance of this factor to the long-term reliability of AlGaN/GaN HFETs, especially when undergoing self-heating at high-power levels, use of alternative isolation features such as small islands of a lateral area less than 1000 nm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> is proposed as a solution.
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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) | 0.000 | 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 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".