Scalable mmWave Non-Volatile Phase Change GeTe-Based Compact Monolithically Integrated Wideband Digital Switched Attenuator
Bibliographic record
Abstract
This article reports a scalable millimeter-wave (mmWave) non-volatile switched attenuator based on phase change material (PCM) germanium telluride (GeTe). The proposed attenuator is designed using four fixed attenuation bits. The PCM GeTe-based T-type switches and two single-pole n-throw (SPnT) switches are monolithically integrated with four passive bridged-T resistor networks to provide a wide attenuation range. Utilizing a T-type switch as a routing core provide scalability with low loss and offers a reduced number of switches in various signal routing paths. It also offers signal routing functionality if there is a switch failure in the T-type unit-cell. The nonvolatile PCM GeTe-based switches do not consume any static dc power. The integrated planar resistors are fabricated precisely on-wafer, and capacitive coupling is added to get wideband operation with a flat response at high frequencies. The fully integrated device is fabricated in-house using a custom eight-layer microfabrication process. The Ka-band attenuator is designed at 30 GHz center frequency with 8 GHz bandwidth. The proposed circuit is highly miniaturized, with a device core size of 0.3 mm2only. The switched attenuator exhibits a measured attenuation from 3.9 to 28 dB at the center frequency in nine discrete steps.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".