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<p>Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical damage. Here, earthworm-inspired self-revival iontronic neuromorphic devices are fabricated with a decentralized architecture by polymer ion gel as an ion transport network. In the integrated device, a discrete hemispheric array structure is engineered to arrest crack propagation by physical isolation. Furthermore, the devices exhibit self-revival capacity after damage due to the rapidly-formed dynamic chemical bonds and transferable properties of independent hemispheric units. Notably, the iontronic neuromorphic devices are applied for the motion-cognition nerve system, achieving a human body movement tracking accuracy rate of 98%. Even when damaged, the system maintains a 96% tracking accuracy rate after self-revival. This work contributes to the design of novel neuromorphic devices and demonstrates significant potential for revolutionizing fields such as prosthetics, rehabilitation, and interactive robotics.</p>

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Self-revival iontronic neuromorphic devices for robust human-machine interaction

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月16日

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  • Yanfei Li,
  • Jiayi Chen,
  • Shilin Tang,
  • Chenxi Zhu,
  • Zhanpeng Hong,
  • Xuefeng Lin,
  • Xiang He,
  • Jianyu Ming,
  • Ning Liu,
  • Linghai Xie,
  • Haifeng Ling

摘要

Flexible neuromorphic devices exhibit substantial promise for applications in next-generation intelligent human-machine interaction systems. While, the primary hurdle for flexible neuromorphic devices lies in functional impairment arising from mechanical damage. Here, earthworm-inspired self-revival iontronic neuromorphic devices are fabricated with a decentralized architecture by polymer ion gel as an ion transport network. In the integrated device, a discrete hemispheric array structure is engineered to arrest crack propagation by physical isolation. Furthermore, the devices exhibit self-revival capacity after damage due to the rapidly-formed dynamic chemical bonds and transferable properties of independent hemispheric units. Notably, the iontronic neuromorphic devices are applied for the motion-cognition nerve system, achieving a human body movement tracking accuracy rate of 98%. Even when damaged, the system maintains a 96% tracking accuracy rate after self-revival. This work contributes to the design of novel neuromorphic devices and demonstrates significant potential for revolutionizing fields such as prosthetics, rehabilitation, and interactive robotics.