Songsong Li1,Max Weires1,Zixuan Zhao1,Fangfang Xia2,Sihong Wang1
The University of Chicago1,Argonne National Laboratory2
Songsong Li1,Max Weires1,Zixuan Zhao1,Fangfang Xia2,Sihong Wang1
The University of Chicago1,Argonne National Laboratory2
Organic electrochemical transistors (OECTs) for on-body neuromorphic computing require mechanical stretchability and large-scale manufacturability. However, developing intrinsically stretchable OECTs using a standard cleanroom microfabrication process is challenging due to limitations in the integrated processing of multiple materials. In this work, we develop a standard cleanroom microfabrication process to fabricate intrinsically stretchable OECT arrays with patterned solid-state ion gel electrolytes. This fabrication process offers a higher resolution and density compared to existing printing techniques. Using this innovative technique, we fabricate a stretchable 10 x 10 neuromorphic array and further construct artificial synapse/neuron functions. Utilizing our neuromorphic array, various machine learning algorithms are implemented to detect acute disease and to control the movement of soft robotics. Overall, this work spotlights a promising strategy for fabricating intrinsically stretchable OECT arrays to realize on-body neuromorphic computing.