ISPSD 2020 Awards [3 awards]
Bibliographic record
Abstract
A super-junction (SJ) device has been developed to improve the trade-off relationship between the breakdown voltage (V BD ) and specific on-resistance (R on A). A multi-epitaxial growth method had been used for fundamental demonstrations, but this method needs a lot of repetitions of epitaxial growth and implantation in the case of SiC material. A trench-filling epitaxial growth method is expected as a promising alternative, especially for high-voltage devices. In this study, we have established critical fabrication processes for a thick (> 20 m) and high-aspect-ratio SJ structure. The measured R on A of a 7.8 kV SJ MOSFET was 17.8 mcm 2 , which corresponds to half the R on A of the state-of-the-art 6.5 kV-class SiC MOSFET with an n-type drift layer. Improvement of trade-off relationship exceeding the 4H-SiC theoretical limit was experimentally demonstrated for the first time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
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".