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An organic electrochemical transistor for multi-modal sensing, memory and processing

Engineering and Technology

An organic electrochemical transistor for multi-modal sensing, memory and processing

S. Wang, X. Chen, et al.

This groundbreaking research led by Shijie Wang and colleagues unveils an innovative organic electrochemical transistor (OECT) that not only senses but also has memory and processing capabilities. With its unique architecture, the device showcases reconfigurable modes for multi-modal sensing and non-volatile synapses, paving the way for advancements in real-time diagnosis and complex functions such as conditioned reflexes.

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Abstract
By integrating sensing, memory and processing functionalities, biological nervous systems are energy and area efficient. Emulating such capabilities in artificial systems is, however, challenging and is limited by the device heterogeneity of sensing and processing cores. Here we report an organic electrochemical transistor capable of sensing, memory and processing. The device has a vertical traverse architecture and a crystalline-amorphous channel that can be selectively doped by ions to enable two reconfigurable modes: a volatile receptor and a non-volatile synapse. As a volatile receptor, the device is capable of multi-modal sensing and is responsive to stimuli such as ions and light. As a non-volatile synapse, it is capable of 10-bit analogue states, low switching stochasticity and good state retention. We also show that the homogeneous integration of the devices could provide functions such as conditioned reflexes and could be used for real-time cardiac disease diagnoses via reservoir computing.
Publisher
Nature Electronics
Published On
Apr 27, 2023
Authors
Shijie Wang, Xi Chen, Chao Zhao, Yuxin Kong, Baojun Lin, Yongyi Wu, Zhaozhao Bi, Ziyi Xuan, Tao Li, Yuxiang Li, Wei Zhang, En Ma, Zhongrui Wang, Wei Ma
Tags
organic electrochemical transistor
sensing
memory
processing functions
neuromorphic computing
real-time diagnosis
multi-modal sensing
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