A 3&#x00D7;40Gb/s 28nm FDSOI CMOS front-end array with 10mV<inf>PP</inf> sensitivity and &#x003E;4V<inf>PP</inf> output swing
Bibliographic record
Abstract
A versatile three-lane transceiver front-end is integrated in a production 28nm FDSOI CMOS technology. Each lane can operate at up to 40Gb/s data rate in receive mode with record 10mVPPsensitivity and 40dB gain, or up to 60Gb/s data rate in transmit mode with adjustable output swing between 2.6 and 4.3 VPPin a 50Ω load, as needed for a variety of silicon photonics and III-V optical modulators. The output stage can swing up to 100 mA at 60 Gb/s in 50Ω or 100fF capacitive loads. Single-ended CMOS inverter-based topologies are employed in all circuit blocks to minimize power consumption and to reduce the lane footprint to that of a ground-signal pad I/O. Even with the reduced footprint, special layout techniques enabled a lane-to-lane isolation better than 40 dB up to 55 GHz. The measured Tx-to-Rx dynamic range is larger than 54 dB at 40 Gb/s.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
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".