Spiderweb-Inspired, Transparent, Impact-Absorbing Composite
Bibliographic record
Abstract
Transparent materials with high impact absorption are required for many safety-critical engineering systems. Existing transparent tough composites have increased impact resistance but often fail catastrophically because of poor impact absorption. We propose a transparent impact-absorbing composite that reproduces the toughening mechanism involving sacrificial bonds and hidden lengths in spider silk. Our material consists of an elastomer matrix and an instability-assisted, 3D-printed, bidirectional fabric of microstructured fibers with sacrificial bonds and alternating loops. Under impact, the hidden loops unfold after bond breaking and matrix cracking, resisting impactor penetration with graceful failure. The large-scale plastic deformation of the unfolding loops significantly increases energy dissipation and leads to hysteresis of 95.6% (dissipated energy/total absorbed energy × 100%), minimizing the released elastic energy and reducing the rebounding damage. Our approach opens a new avenue for designing and manufacturing transparent high-energy-absorbing composites for impact protection applications.
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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".