Double Twisted Photonic Honeycomb Frameworks with Mesoporous Structures
Bibliographic record
Abstract
Abstract In nature, materials such as shell, bone, silk, and wood are assembled with hierarchical structures that span lengths from nanometers to centimeters. These biological materials are fascinating targets for replication and mimicry, often owing to their remarkable properties. The intricate and periodic structure of the snow crab (Chionoecetes opilio) exoskeleton that renders it iridescent is described here. It is discovered that the snow crab has a double twisted photonic honeycomb structure constructed by left‐handed rotation of chitin nanofibrils around cavities throughout its shell. This new chiral framework provides a foundation for exploring chiral photonics and materials. With the goal of mimicking this intricate network, the iridescent mineralized chitin shell is successfully transferred to calcite, carbon, apatite, and fluorapatite/chitin materials with structural replication. It is shown that the sophisticated organization of the iridescent crab shell leads these new materials to have a distinctive macroscopic combination of multilevel chirality, honeycomb channels, and mesoporosity. These solid‐state transformations of snow crab exoskeletons will open the path to making complex hierarchical frameworks of functional porous materials through bioinspired templating.
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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".