CUED Publications database

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

Van De Burgt, Y and Lubberman, E and Fuller, EJ and Keene, ST and Faria, GC and Agarwal, S and Marinella, MJ and Alec Talin, A and Salleo, A (2017) A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. Nature Materials, 16. pp. 414-418. ISSN 1476-1122

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Abstract

The brain is capable of massively parallel information processing while consuming only ~1-100 fJ per synaptic event . Inspired by the efficiency of the brain, CMOS-based neural architectures and memristors are being developed for pattern recognition and machine learning. However, the volatility, design complexity and high supply voltages for CMOS architectures, and the stochastic and energy-costly switching of memristors complicate the path to achieve the interconnectivity, information density, and energy efficiency of the brain using either approach. Here we describe an electrochemical neuromorphic organic device (ENODe) operating with a fundamentally different mechanism from existing memristors. ENODeswitches at lowvoltage and energy (<10 pJ for 10 μm devices), displays >500 distinct, non-volatile conductance states within a~1V range, and achieves high classification accuracy when implemented in neural network simulations. Plastic ENODes are also fabricated on flexible substrates enabling the integration of neuromorphic functionality in stretchable electronic systems . Mechanical flexibility makes ENODes compatible with three-dimensional architectures, opening a path towards extreme interconnectivity comparable to the human brain. 1,2 3 4,5 3 2 6,7

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Cron Job
Date Deposited: 17 Feb 2021 20:14
Last Modified: 15 Apr 2021 07:12
DOI: 10.1038/NMAT4856