Impact of microfluidic cooling on high power amplifier RF performance
Bibliographic record
Abstract
This paper presents the results of an experimental investigation into the impact of microfluidic cooling on the performance of high power Gallium Nitride (GaN) amplifiers (HPAs). Electrical and thermal measurements were taken on a high frequency, broadband HPA, cooled using two different thermal management techniques; “conventional” (or remote) cooling where the chip is separated from its heat sink by several packaging materials, and a newly developed “embedded” microfluidic cooling technique where the coolant is brought into direct contact with the underside of the chip. Infrared (IR) thermal imaging was used to quantify the reduction in junction temperature, and simultaneous RF measurements of output power and drain current were used to quantify the RF benefits. The results show a 3× reduction in thermal resistance and 4.2 dB increase in gain for a given input power. In addition, the microfluidically cooled HPA produced over 8 dB increased output power. Finally, embedded cooling also improved the power added efficiency (PAE) of the amplifier by roughly 3× to 4× compared to its remotely cooled counterpart.
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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) | 0.008 | 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".