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March 13, 2026Nature Communications0 citationsOpen Access

Geometry-programmed self-wrinkling in organo-hydrogels for anisotropic mechanics and adaptive sensing

HQHaobo QiHYH. J. YangTLTao Li

Key Points

  • The research aims to improve the mechanical properties and functional integration of gel-based soft materials using a self-wrinkling strategy.
  • Introduced a geometry-programmed self-wrinkling strategy
  • Utilized thermal-evaporative gelation of poly(vinyl alcohol)-based organo-hydrogels
  • Achieved aligned wrinkle architectures without external patterning
  • Produced materials with enhanced mechanical robustness
  • Exhibited anisotropic properties in deformation and ionic transport
  • Demonstrated multiple sensing functions including strain sensing and temperature-triggered alarms

Abstract

Gel-based soft materials are attractive for flexible electronics and biointerfaces but are often limited by insufficient mechanical robustness and constrained functional integration. Here, we introduce a geometry-programmed self-wrinkling strategy that enables the spontaneous formation of aligned wrinkle architectures during thermal-evaporative gelation of poly(vinyl alcohol)-based organo-hydrogels. Without external patterning or post-processing, this process produces materials with enhanced mechanical robustness and pronounced anisotropy in deformation, fracture, and ionic transport. By leveraging these intrinsic properties, we demonstrate multiple sensing and actuation functions, including directional strain sensing, multidirectional sliding detection, deformation-driven rolling sensors, and temperature-triggered alarms. These results highlight geometry-programmed self-wrinkling as a scalable route to integrate structural reinforcement and directional functionality into soft materials through a physically driven formation process.

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Cite This Study

Qi et al. (2026) studied this question.

synapsesocial.com/papers/69b3ab9102a1e69014ccc944https://doi.org/10.1038/s41467-026-70433-z
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