A Single-Chip Liquid Crystal Variable Capacitor Using a Microfabrication Process for Tunable RF and Microwave Applications
Bibliographic record
Abstract
This article presents the implementation of a single-chip silicon-micromachined variable capacitor employing nematic liquid crystal (LC). The LC substance is confined within a slender micromachined enclosure, enabling electronic tuning of its dielectric characteristics. The compact dimensions of these chip capacitors facilitate their utilization across an extensive range of RF tunable/reconfigurable applications. This article thoroughly explains the fabrication procedure and includes comprehensive discussions on simulation as well as measurement results of the chip-based LC variable capacitors. Three chip capacitor configurations are demonstrated: 1) single port shunt capacitor; 2) two-port series capacitor with an integrated bias line; and 3) two-port series capacitor. The shunt capacitor displays an 18% variation in capacitance, while the quality factor ranges from 44 to 123. The measurements of the capacitor with the integrated bias line reveal a 21% tuning range accompanied by a quality factor ranging from 22 to 45 at 1.25 GHz. On the other hand, the two-port series capacitor exhibits a 23% change in capacitance values while demonstrating a quality factor that varies between 30 and 105 at 1.25 GHz. The chip capacitors discussed in this work are manufactured utilizing an in-house multilayer microfabrication process. An ion beam irradiation (IBI) process is developed for the treatment of the prealignment layer of highly miniature capacitors.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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".