Skin-inspired interface modification strategy toward a structure-function integrated hybrid smart fabric system with self-powered sensing property for versatile applications
Bibliographic record
Abstract
Fabric-based composites with superior mechanical properties and excellent perceptive function are highly desirable. However, it remains a huge challenge to attain structure-function integration, especially for hybrid fabric composites. Herein, a skin-inspired interface modification strategy is proposed toward this target by constructing a hybrid smart fabric system consisting of two types of smart fabrics: carbon nanotube (CNT)/MXene-modified aramid fabrics and zinc oxide nanorod (ZnO NR)-modified carbon fabrics. Based on that, flexible piezoelectric pressure sensors with skin-like hierarchical perception interfaces are fabricated, which demonstrate superb sensitivity of 2.39 V·kPa -1 and are capable of various wearable monitoring tasks. Besides, the interface-modified hybrid fabric reinforced plastics can also be fabricated, which are proven to possess 13.6% higher tensile strength, 10.1% elastic modulus. More impressively, their average energy absorption can be improved by 111.9%, accompanied with inherent damage alert capability. This offers a paradigm to fabricate structure-function integrated hybrid smart fabric composites for the smart clothing and intelligent aerial vehicles.
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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 | 0.000 | 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".