Electromagnetic Scattering From Two-Dimensional Arbitrary Objects Using Random Auxiliary Sources
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A simple, fast, and efficient numerical solution for the electromagnetic scattering from 2-D arbitrary objects is proposed. Based on the surface equivalence principle and the use of novel equivalent problems with random auxiliary sources, more degrees of freedom are added, resulting in significantly fast solutions. Furthermore, the simplicity of the implementation is ensured by placing equivalent sources away from the surfaces to avoid any singularity treatment. Nevertheless, an iterative solution is invoked to ensure an acceptable error in satisfying the boundary conditions through any randomly generated equivalent sources. The presented technique promises a significant reduction in the execution time and memory requirements compared with the surface-equivalent-based method of moments (MoM) as the inherent properties of this procedure are used. Moreover, different boundary conditions are considered. Furthermore, comprehensive studies are performed to ensure the best performance, and the advantages of the technique are highlighted. The results of the presented technique are compared with series solutions for circular cylinders and the MoM for arbitrarily shaped objects and combinations of different materials.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it