Apr 24, 2024
5:00pm - 7:00pm
Flex Hall C, Level 2, Summit
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.