Session:

Developing wearable edge computing electronics with skin-like stretchability has a significant impact on precision medicine and soft robotics. To implement edge computing function, integrated neuromorphic systems with artificial synapses and neuron functionalities are necessary, which can emulate biological neural networks and enable the replication of complex cognitive abilities within an artificial system. Recent explorations have identified organic electrochemical transistors (OECTs) as a promising device platform for stretchable neuromorphic computing. However, challenges remain in the scalable fabrication of stretchable large-scale synaptic arrays and additional stretchable components, such as artificial neurons. In this work, we develop intrinsically stretchable integrated neuromorphic systems by fabricating stretchable 10 x 10 neuromorphic arrays via a standard cleanroom microfabrication process, subsequently constructing artificial neurons to realize neuromorphic activation functions. Various machine learning algorithms are deployed using our neuromorphic integrated system to detect acute disease and regulate the movement of soft robotics. Overall, this work will shed light on the promising pathway toward realizing wearable on-body edge computing.

Co-Author(s): Max Weires (The University of Chicago), Zixuan Zhao (The University of Chicago), Fangfang Xia (Argonne National Laboratory), Sihong Wang (The University of Chicago)

Songsong Li

The University of Chicago

Appearances