Measurement of the dielectric properties of materials by using time domain reflectometry
Bibliographic record
Abstract
The authors present some TDR (time-domain-reflectometry) applications for complex permittivity measurements for strong polar liquid in the frequency range of 1 to 35 GHz, liquid crystal from 100 kHz to 1 GHz, and ionic microemulsion at frequencies between 30 MHz and 20 GHz. In each case, the necessary TDR techniques for optimal condition are given. The new TDR system (HP54120A+HP54121A) used has excellent stability compared with the earlier TDR system (HP181). It was found that, for methanol, the TDR system implemented can obtain information about the complex permittivity in the frequency range up to 25 GHz with sufficient accuracy and can possibly go up to 35 GHz using a bilinear correction. In the case of the liquid crystal, it is shown that the method is powerful not only in the microwave range but also in the radio frequency range. From the measurement of the ionic microemulsion system, it is clear that the TDR technique is applicable to the measurement of the complex permittivity of a sample with high DC conductivity.>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".