Bio‐inspired photonic crystals: Tailoring the dielectric building blocks to control the light propagation
Bibliographic record
Abstract
Abstract Photonic crystals have drawn tremendous attention in recent years owing to their unique optical properties and remarkable advantages in various applications such as bioassays, sensors and optical devices. Benefiting from the spatially ordered structures, the flow of visible light can be manipulated by photonic crystals in a controlled manner. In this review, we summarize recent progress toward bio‐inspired photonic crystals, including techniques for the construction of spatially ordered structures in diverse dimensions for photonic crystals, and strategies to manipulate the periodicity of the dielectric building blocks to control the light propagation in the presence of external stimuli. We start with the description of structure induced colors in nature with a systematic investigation to reveal the derivation of these colors, followed by a discussion on the design and fabrication of various types of bio‐inspired photonic crystals by manipulating the arrangement of dielectric building blocks. We also highlight the stimuli responsive photonic crystals with tunable optical properties and their applications in sensing and color display.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".