Fast time-domain simulation of optical waveguide structures with a multilevel dynamically adaptive mesh refinement FDTD approach
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Bibliographic record
Abstract
The finite-difference time-domain (FDTD) technique has been widely employed for the modeling of both linear and nonlinear optical structures. Its main advantages, however, namely, simplicity and versatility, are offered at the expense of significant computational resources needed for the simulation of realistic geometries. In this paper, a recent approach that incorporated an adaptively refined moving mesh into the FDTD technique for microwave circuit design is applied to two-dimensional optical waveguide problems, resulting in dramatic simulation time savings, compared with FDTD, while maintaining its accuracy. To complement the applicability of the proposed technique as a novel photonics design tool, numerical error studies that facilitate the educated a priori choice of the simulation parameters are provided.
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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