Freeform engineered disordered metalenses for super-resolution imaging and communication
Bibliographic record
Abstract
Effective transmission of information through scattering media has been of great importance in imaging systems and beneficial to high capacity wireless communication. Despite numerous attempts to achieve high-resolution sub-diffraction-limited imaging through employing the engineered structures such as the so-called metamaterials or utilizing techniques like time reversal methods, the proposed ideas suffer from the fundamental limitations for design and practical realization. In this paper, we investigate disorder-based engineered scattering structures and introduce a novel technique for achieving super-resolution based on designing and employing engineered all-dielectric medium. We show that disorder in the proposed design can be exploited to significantly modify the information content of scattered fields in the far-field region. Under the presence of the designed structures, using computational methods, signals associated with ultra sub-wavelength features of the illuminating sources can be enhanced and extracted from the far-field image. Not only can the presented approach lead to remarkable enhancement of resolution in such systems, but also orthogonal transmission channels are attainable when the closely-packed sources are excited properly. The latter provides a new scheme for encoding and multiplexing signals leading to the enhancement of information capacity in emerging information processing systems. The design procedure and physical constraints are studied and discussed.
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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".