Power Efficiency Characterization with Various Gate Oxide Thicknesses in Class DE Amplifiers for HIFU Applications
Bibliographic record
Abstract
Skin and cancer cell treatments using high-intensity focused ultrasound (HIFU) have garnered considerable attention as a technology with fewer side effects. Hence, various schemes have been developed to operate ultrasound transducers with high efficiencies. Class DE power amplifiers operate in zero-voltage switching (ZVS) and zero-derivative switching (ZDS); therefore, high-efficiency operation is possible. However, during the CMOS process, a difference in efficiency arises depending on the gate oxide process, which has not yet been analyzed. In high-power devices, a thick oxide layer is primarily used to prevent breakdown. However, this can lead to a decrease in power efficiency. This study analyzes the overall power consumption for each oxide layer thickness during the AMS H35 CMOS process and compares its efficiency. The results confirm that an output power of approximately 1.8 W and a power efficiency of 94% can be obtained with just a relatively thin gate oxide thickness of approximately 10 nm. Furthermore, an additional power efficiency of approximately 3% can be obtained by reducing only the gate oxide thickness.
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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".