Interfacing Thin-Wire and Circuit Subcell Models in Unstructured Time-Domain Field Solvers
Bibliographic record
Abstract
A method for driving and terminating Holland-Simpson based thin-wire models by arbitrary lumped-element circuits is proposed. The approach uses the fact that these thin-wire models result in modified Telegrapher's equations, and interfacing transmission lines and lumped-element circuits is straightforward. The thin-wire voltage and current at a circuit/wire junction can be written in terms of circuit nodal voltages and branch currents, permitting the circuit solution to act as a boundary condition for the thin-wire system. In this work, we provide the circuit/wire interfacing conditions and combine circuits with Edelvik's Holland-Simpson model that permits thin-wires to be arbitrarily oriented within an unstructured mesh. Edelvik's work, previously implemented for finite-difference and finite-element time-domain solvers is formulated for the finite-volume method. Numerical and experimental results for circuit-driven thin-wire antennas are provided to validate the method.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".