Multiscale Wrinkling Patterns in Helicoidal Plywood Surfaces
Bibliographic record
Abstract
Helicoidal plywoods are an ubiquitous biological fibrous composites structure found in collagen and cellulosic materials. These cholesteric liquid crystal analogues display the Bouligand architecture which is associated with bulk and surface multifunctionalities such as sensor/actuator and structural color , as well as optimized mechanical and tribological properties. In this presentation, motivated and guided by biological surface topographies found in insects, plants, and fish scales, we present a model of surface pattern formation for chiral surfaces and reveal the elastic mechanisms that generate simple and complex wrinkling. Introducing the liquid crystal capillary vector we are able to efficiently map the relations between surface curvature, liquid crystal anchoring, chirality and surface tension. Scaling laws of wrinkling amplitude and wave-length as a function of anchoring and chirality are derived. In the simplest case, a fiber orientation surface gradients generate a single scale harmonic whose amplitude is proportional to anchoring and whose wave-length is set by the orientation. We show how by manipulating the material property and fiber gradient space generates targeted patterns with desirable novel properties, such as low friction surfaces.
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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".