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

Autor: 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
Rok vydání: 2023
Předmět:
Zdroj: Nature Electronics. 6:281-291
ISSN: 2520-1131
DOI: 10.1038/s41928-023-00950-y
Popis: 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.
Databáze: OpenAIRE