Reconfigurable and Scalable Monolithic Band Reject Circuit Utilizing Phase-Change Switch Matrices
Bibliographic record
Abstract
This paper reports a reconfigurable band reject circuit utilizing a chalcogenide phase change material (PCM) germanium telluride (GeTe) based switch matrix. A highly miniaturized and scalable 2×2 switch matrix is developed in-house using a custom eight-layer microfabrication process, including a thermally conductive dielectric for efficient thermal energy transportation. As a proof-of-concept, two band-rejection notch filters are monolithically integrated with the 2×2 switch matrix to demonstrate a reconfigurable 2-bit band reject circuit. The fully integrated circuit is designed with overall device core footprints under 0.68 mm2. The circuit does not consume any static dc power consumption and offers non-volatile operation. The circuit is reconfigurable to either reject f1at 2.6 GHz, f2at 5.8 GHz, both f1+ f2or bypass the notch filters. The proposed circuit exhibits a measured insertion loss of less than 2.2 dB and a return loss of better than 17 dB. The approach is scalable to a larger number of reconfigurable bands rejection using the 2×2 unit-cell in an upscaled switch matrix.
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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".