Bibliographic record
Abstract
This thesis presents the design and analysis of a fully integrated Gallium Nitride (GaN) power amplifier operating at 5 GHz, fabricated using the Skyworks 0.25 µm GaN process.The proposed amplifier is designed to be fully integrated onto a single die, with an OIP3 over 40 dBm, a maximum instantaneous bandwidth of 100 MHz, and a saturated power of 35 dBm into a 50-Ω load.The layout, extracted using EMX, confirms an OIP3 of 41.5 dBm, a single-tone gain of 9.5 dB, and a saturated power of 35 dBm.Although the final amplifier was not able to be taped-out, previously designed gain and power-matched amplifier test structures were measured and back-fitted to forecast the potential success of the proposed design.I would like to express my profound gratitude to all those who have been instrumental in the completion of this thesis.First and foremost, my heartfelt appreciation goes to my wife, whose unwavering support and encouragement have been my source of strength throughout this journey.Her love, patience, and understanding have been the bedrock of this accomplishment.I am deeply indebted to my supervisor, John Rogers, for his invaluable guidance, constructive criticism, and continuous support.His expertise and dedication have significantly contributed to the success of this research.I would also like to extend my sincere thanks to Alan Harrison
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".