Bioinspired Auxetic Metastructures Enable Biomechanically Adaptive, Machine Learning‑Enhanced Self‑Powered Sensing with Ultrahigh Efficiency (IMAGE)
Caption
- Bioinspired auxetic triboelectric nanogenerator utilizes negative Poisson’s ratio to resolve interfacial mechanical mismatch. A “conformal self-adaptation” mechanism via synclastic curvature maximizes contact area and signal stability on curvilinear surfaces.
- The optimized structure achieves a 3.2-fold increase in bending-mode energy conversion efficiency compared to non-auxetic controls, ensuring robust energy harvesting performance under dynamic deformation.
- An integrated self-powered sensor array coupled with a convolutional neural network deep learning model enables intelligent object recognition with 98.7% accuracy, demonstrating precise human–machine interaction capabilities.
Credit
Wei Wang, Xuechuan Wang*, Linbin Li, Yi Zhou, Wenlong Zhang, Long Xing, Long Xie, Yitong Wang, Ouyang Yue*, Xinhua Liu*.
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CC BY-NC-ND