New Look on Fields and Energy Around Multiband Antennas: A Case Study Using Interdigital Capacitor–Loaded Monopoles
Bibliographic record
Abstract
In this article, we critically examine the nonpropagating energy density distribution and propagating energy flow around multiband antennas in the frequency domain.Assuming a time-harmonic scenario, we first compute the time-averaged Poynting localized energy density and normalized energy-flow velocity in the near-field regime of arbitrary antennas at specific operating frequencies.As a specific example of compact multiband antenna, we consider one interdigital capacitor (IDC)-loaded planar monopole antenna and analyze it using the method-of-moments-based MATLAB Antenna Toolbox.First, we demonstrate the triple-band behavior and quasi-monopolar far-field gain characteristics at all three operating frequencies for these IDC-loaded monopoles.Next, we illustrate the two-dimensional maps of Poynting localized energy density and normalized energy-flow velocity in an observation plane near these IDC-loaded monopoles, which reveal interesting facts about the near-field propagating and nonpropagating energy dynamics for such multiband antennas.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".