Efficient two-terminal artificial synapse based on a network of functionalized conducting polymer nanowires. Issue 32 (30th July 2019)

• Record Type: Journal Article
• Authors: Jiang, Chunli; Zhang, Yu; Tian, Bobo; Luo, Chunhua; Zhong, Ni; Wang, Jianlu; Meng, Xiangjian; Peng, Hui; Duan, Chun-Gang; Chu, Junhao
• Is Part Of: Journal of materials chemistry. Volume 7:Issue 32(2019)
• Page Start: 9933
• Page End: 9938
• Publication Date: 2019-07-30
• Subjects: Materials -- Periodicals; Chemistry, Analytic -- Periodicals; Optical materials -- Research -- Periodicals; Electronics -- Materials -- Research -- Periodicals; 543.0284
• DOI: 10.1039/c9tc02802a
• Languages: English
• ISSNs: 2050-7526

Abstract

Abstract : A two-terminal artificial synaptic device based on functionalized polythiophene nanowires network is fabricated and successfully used to emulate important biological synaptic functions, including PPF, SRDP and STDP. Abstract : Artificial synaptic devices are the hardware basis of highly efficient neuromorphic networks with low energy consumption. Great challenges still remain in this research field, like improving the response speed, reducing the energy consumption, and exploring new materials and working principles. In this work, we synthesize a new terthiophene monomer functionalized with a conjugated acrylic acid group (MTAA). The electropolymerization of MTAA results in the formation of a three-dimensional network of conducting polymer nanowires (PMTAA). Based on this nanowire network, a two-terminal artificial synaptic device with multilevel conductance states is fabricated. The device is successfully used to emulate important biological synaptic functions, including paired-pulse facilitation (PPF), spike rate-dependent plasticity (SRDP) and spike timing-dependent plasticity (STDP). The carboxyl groups in the polymer provide a possible way to fast neutralize the positively charged polymer backbone during the oxidation process, which results in the fast response of the device to electrical pulses with an ultralow energy consumption of 6.9 fJ per synaptic event.