Slice and Rearrange to Form Quarter-wavelength Plates: Numerical Simulation in One Dimension
Bibliographic record
Abstract
In this paper, the computational results of numerical simulations for newly proposed structures combining two quarter-wavelength (QW) slabs in one dimension are presented. The new QW plate is composed of alternate layers of two different QW slabs that are made of nonmagnetic dielectric materials A and B, characterized by the dielectric constants rA and rB , which satisfy the relation ( rA ) 2 = rB > 1, in order to minimize the reflection from the structures. Slabs A and B are, in theory, uniformly sliced into N + 1 and N pieces, respectively, or vice versa. They are then respectively rearranged into two different structures, A(BA) N and B(AB) N , which are numerically proved to function as QW plates. Compared with the traditional antireflection coating (ARC) techniques, the newly proposed structures have the advantages that every component of each type of material is identical in thickness and that they are easy to assemble. The idea of the proposed structures is numerically supported by simulation results obtained through the application of the method of characteristics (MOC). The wavelength of interest is set to 550 nm, which corresponds to green light. The numerical results, in both the time and frequency domains, demonstrate that the proposed structures function as antireflective glasses that can be straightforwardly fabricated and used to increase the energy efficiency and reduce the environmental impact of buildings as well as to enhance the performance of some wavelength-sensitive optical sensors. It can also be used as a new coating material for solar panels to single out the specific wavelength of light and hence to protect the solar panel from infrared and ultraviolet radiations.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".