Inverse-designed metasurfaces for multifunctional spatial frequency filtering
Why this work is in the frame
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Bibliographic record
Abstract
With the rapid rise in demand for edge computing, there is a need for low-power, compact approaches to information processing. Optical metasurfaces have emerged as a powerful platform for implementing convolution operations in the analog domain that would traditionally be done digitally. However, there has been limited work exploring the full extent to which metasurfaces can be designed to filter the spatial frequency content of incident fields. We experimentally demonstrate inverse-designed metasurfaces that perform spatial frequency filtering by precisely controlling their angular, polarization, and spectral scattering characteristics. To demonstrate the flexibility of our design approach, we show that distinct transfer functions can be implemented for orthogonal polarizations, leading to directional edge detection and blurring. Furthermore, we design metasurfaces with polarization-independent and spectrally multiplexed transfer functions. Multifunctional metasurfaces that encode several filtering functions have the potential to enable new applications in robotics, metrology, and sensing, particularly in resource-constrained scenarios.
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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