Super-junction LDMOST on a silicon-on-sapphire substrate
Bibliographic record
Abstract
A super-junction lateral double diffused MOST (SJ-LDMOST) in silicon-on-sapphire technology, targeting power integrated circuits (PICs), is proposed, implemented and characterized. The proposed structure eliminates "substrate-assisted-depletion" effects in lateral SJ devices thus achieving charge compensation between the n and p SJ-pillars as well as a uniform electric field distribution in the drift region in the off-state. Three-dimensional (3-D) simulations of the device, using realistic aspect ratios for the SJ-pillars, indicate that a significant reduction in specific on-resistance for a given breakdown voltage can be achieved as compared to conventional reduced surface field (RESURF) devices. Experimental devices were implemented using a seven mask CMOS compatible process. Fabricated SJ-LDMOSTs with a drift region length of 66 /spl mu/m and a pillar aspect ratio of 1.2 /spl mu/m/0.7 /spl mu/m (width/height) exhibit a specific on-resistance of 0.82 /spl Omega/.cm/sup 2/ and a breakdown voltage (BV) ranging between 500 and 600 V corresponding to less than 8.5% charge imbalance in the pillars.
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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 | 0.001 | 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".