Advanced Wave Engineering via Obliquely Illuminated Space-Time-Modulated Slab
Bibliographic record
Abstract
This paper introduces an advanced wave engineering technique based on unidirectional frequency generation and spatial decomposition in general space-time-modulated (STM) slabs. The extraordinary wave engineering provided by such slabs is comprised of unidirectional wavefront shaping, nonreciprocal frequency generation, and spatial decomposition of ST harmonics (STHs). We first derive a rigorous analytical solution for the wave scattering from general ST permittivity- and permeability-modulated (STP&PM) slabs. The analytical solution considers the most general form of spatiotemporal variation and wave incidence, i.e., oblique incidence and scattering from time-periodic spatially aperiodic/periodic STP&PM slabs. The spatial aperiodicity may be utilized for further spectrum engineering and suppression of undesired STHs. Next, it will be shown that an equilibrated ST refractive-index-modulated slab with equal permittivity and permeability modulation strengths exhibits highly enhanced nonreciprocity. The FDTD numerical simulation of general STM slabs is presented, providing extra leverage for the analyses of wave propagation and scattering in such media. We show that oblique incidence to an STM slab yields nonreciprocal spatial decomposition of generated STHs. The explored peculiar properties of STM slabs under oblique incidence is expected to pave the way for the realization of new class of subharmonic generators, radars, illusion cloaks, and spatial mixers and isolators.
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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 | 0.000 |
| 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) | 0.001 | 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".