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<p>Intrinsically stretchable electronics can be used to make wearable devices that collect large amounts of multimodal sensory data. This has led to a demand for enhanced near-sensor computing capabilities that can process such data. One potential solution is neuromorphic edge computing implemented using stretchable organic electrochemical transistors, but the lack of a scalable fabrication method for these transistors has limited the size and complexity of the systems. Here we report the fabrication of large-scale, intrinsically stretchable organic electrochemical transistor arrays with a density up to 10,000 transistors per square centimetre. The transistors exhibit good synaptic performance, including linear, precise conductance programming and good retention. The performance uniformity of the array enables the hardware implementation of a stretchable artificial neural network for processing health data, including heart attack risk assessment and kernel convolution for locating propagation wavefronts. We also explore the potential of implementing reinforcement learning algorithms on the neuromorphic circuits for use in soft robotics.</p>

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A large-scale stretchable neuromorphic circuit for on-body edge computing

  • 期刊论文

  • 发表日期：

    2026年5月20日

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  • Songsong Li,
  • Zixuan Zhao,
  • Max Weires,
  • Shiyu Hu,
  • Yang Li,
  • Lingfeng Tang,
  • Shilei Dai,
  • Yahao Dai,
  • Youdi Liu,
  • Nan Li,
  • Wei Liu,
  • Naisong Shan,
  • Junyi Yin,
  • Xiaoao Shi,
  • Sean Sutyak,
  • Cheng Zhang,
  • Jie Xu,
  • Junhong Chen,
  • Yuepeng Zhang,
  • Igor R. Efimov,
  • Fangfang Xia,
  • Sihong Wang

摘要

Intrinsically stretchable electronics can be used to make wearable devices that collect large amounts of multimodal sensory data. This has led to a demand for enhanced near-sensor computing capabilities that can process such data. One potential solution is neuromorphic edge computing implemented using stretchable organic electrochemical transistors, but the lack of a scalable fabrication method for these transistors has limited the size and complexity of the systems. Here we report the fabrication of large-scale, intrinsically stretchable organic electrochemical transistor arrays with a density up to 10,000 transistors per square centimetre. The transistors exhibit good synaptic performance, including linear, precise conductance programming and good retention. The performance uniformity of the array enables the hardware implementation of a stretchable artificial neural network for processing health data, including heart attack risk assessment and kernel convolution for locating propagation wavefronts. We also explore the potential of implementing reinforcement learning algorithms on the neuromorphic circuits for use in soft robotics.