A PEDOT:PSS and DC Line Enhanced Planar Microwave Humidity Sensor
Bibliographic record
Abstract
Microwave sensors in the form of Split Ring Resonators are being utilized in an abundance of applications yet require constant advancements to maintain this course. This paper investigates the integration of an organic conductive polymer, PEDOT:PSS, with a planar microwave split ring resonator for humidity detection. A double gap split ring resonator was designed with quarter wavelength lines and radial stubs for the purpose of measuring the resistance of materials placed across the sensitive gap. A set of gold electrodes were sputtered on a thin glass slide, which was then spin coated with a thin film of PEDOT:PSS and bonded across the sensitive gap using a silver epoxy. Environmental variations in relative humidity affect the conductivity of the thin film, producing shifts in resonant amplitude, resonant frequency, and resistance. The sensor functionality was verified by varying humidity from 0 %RH to 75 %RH in an enclosed chamber for five cycles, producing 196.1 MHz, 1.131 dB, and 30.65 kΩ shifts in resonant frequency, resonant amplitude, and DC resistance respectively. Thus, the design not only demonstrates potential for humidity sensing, but establishes that investigating the interaction of microwaves and DC variations in materials is the next step in advancing microwave sensing devices.
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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".