Characterization of optically sensitive polymer and application to microwave antenna
Bibliographic record
Abstract
Due to the rapid growth in wireless networks in recent years, there is a need for a tunable microwave device to be able to effectively switch between different networks and wireless technologies.This thesis investigates the use of a photoconductive polymer to optically tune a microwave device or antenna.The dielectric properties of a hybrid (Polymer + Cadmium Sulphide) photoconductive polymer are extracted using microwave reflection measurements on a coplanar waveguide test structure.The material under test was overlaid on an interdigitated capacitor that was fabricated on a transparent glass substrate.The material characterization was done with and without broadband optical illumination.The material parameters were obtained by fitting measured reflection coefficient data to an equivalent lumped element circuit or HFSS model in ADS.The results obtained from the characterization show that the polymer was photoconductive.The extracted dielectric constant (e r) of 4 and loss tangent (tan d) of 0.004 were obtained without illumination, while the loss tangent increased to 0.1 1 with illumination but the e r value had no measureable change.The properties of the novel photoconductive polymer were used in the theoretical design of an optically tunable dipole antenna.The antenna was designed for GSM band (1900MHz to 2100MHz).The tunability in the antenna was achieved by applying the characterized polymer along a slotted segment of the dipole arm, and effectively changing the dipole length by optical illumination.
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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 | 0.000 |
| Open science | 0.000 | 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".