High efficiency GaN HEMT class-F synchronous rectifier for wireless applications
Bibliographic record
Abstract
In this paper, experimental results are shown for a synchronous class-F RF to DC rectifier. The rectifier design is obtained by transforming a class-F amplifier into a rectifier using the theory of time reversal duality. The amplifier and rectifier are tested under identical source power conditions to demonstrate the duality between the circuits. A 10 W Cree HEMT device is used in the designs at a frequency of 985 MHz. The class-F amplifier delivers 8.3 W with an efficiency of 77.5% for a DC source power of 10.7 W. The time reversed dual, a class-F rectifier, delivers 8.7 W of DC load power for a RF input source power of 10.7 W with an efficiency of 81.3%. The rectifier circuit has slightly higher efficiency than the amplifier and lower losses in the rectifier are attributed to device operation in both quadrants I and III compared to an amplifier which operates exclusively in quadrant I. The rectifier has a peak output power of 11.3 W with an efficiency of 78% and this is the highest reported power for a synchronous RF class-F amplifier.
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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".