Rational Band Engineering of an Organic Double Heterojunction for Artificial Synaptic Devices with Enhanced State Retention and Linear Update of Synaptic Weight
- Authors
- Qian Chuan; Oh Seyong; Choi Yongsuk; Seo Seunghwan; Sun Jia; Park Jin-Hong; Cho Jeong Ho
- Issue Date
- Mar-2020
- Publisher
- American Chemical Society
- Keywords
- artificial synapse; band engineering; neuromorphic computing; organic heterojunction; pattern recognition
- Citation
- ACS Applied Materials & Interfaces, v.12, no.9, pp 10737 - 10745
- Pages
- 9
- Indexed
- SCIE
SCOPUS
- Journal Title
- ACS Applied Materials & Interfaces
- Volume
- 12
- Number
- 9
- Start Page
- 10737
- End Page
- 10745
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113740
- DOI
- 10.1021/acsami.9b22319
- ISSN
- 1944-8244
1944-8252
- Abstract
- Herein, we propose an organic double heterojunction to enable a nonvolatile step modulation of the conductance of an artificial synapse; the double heterojunction is composed of N,N'-dioctyl-3,4,9,10-perylene tetracarboxylic dii-mide (PTCDI-C-8), copper phthalocyanine (CuPc), and parasexiphenyl (p-6P). The carrier confinement in the CuPc region present in the double-heterojunction structure enabled the nonvolatile modulation of the postsynaptic current. The proposed organic synapse exhibited an excellent conductance change, characteristic with a nonlinearity (NL) value below 0.01 in the long-term potentiation (LTP) region. Furthermore, the NL value for long-term depression (LTD) could be reduced effectively from 45 to 3.5 by a pulse modulation technique. A simple artificial neural network (ANN) was theoretically designed using the LTP/LTD characteristic curves of such organic synapses, and then, learning and recognition tasks were performed using Modified National Institute of Standards and Technology digit images. A four-amplitude weight update method enabled considerable enhancement of the recognition rate from 53 to 70%. Although the designed ANN was based on a single-layer perceptron model, a high maximum accuracy of 75% was achieved. These newly studied techniques for synaptic devices are expected to open up new possibilities for the realization of artificial synapses based on organic double heterojunctions.
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