The 81st JSAP Autumn Meeting, 2020

Presentation information

Oral presentation

CS Code-sharing session » 【CS.7】 Code-sharing Session of 7.4 & 9.5

[9a-Z24-1~10] 【CS.7】 Code-sharing Session of 7.4 & 9.5

Wed. Sep 9, 2020 9:00 AM - 11:45 AM Z24

Kouichi Takase(Nihon Univ.), Hirofumi Tanaka(Kyushu Inst. of Tech.)

10:45 AM - 11:00 AM

[9a-Z24-7] Preliminary study of reservoir computing device using Ag-Ag2S core-shell nanoparticles

〇(PC)Hadiyawarman Hadiyawarman1,2, Takumi Kotooka1, Hirofumi Tanaka1,2 (1.Graduate School of Life Science and Systems Engineering, Kyushu Inst. of Tech., 2.Research Center for Neuromorphic AI Hardware, Kyushu Inst. of Tech.)

Keywords:Reservoir Computing, Atomic Switches, Ag-Ag2S core-shell nanoparticles

Neuromorphic devices are expected to have a high-performance arithmetic circuit with very low power consumption to be applied in many fields, such as brain-like computer. In the present study, we demonstrated a preliminary study of reservoir computing (RC) hardware using the Ag-Ag2S core-shell nanoparticles aggregation for speech recognition. The Ag-Ag2S core-shell nanoparticles were synthesized by modified Brust-Schiffrin procedure at room temperature with Ag/S molar ratios of 0.25/1 as described in [1, 2]. The RC device was then fabricated by drop-casting highly concentrated nanoparticles in ethanol on to 50 ℃ of multi electrodes device and characterized echo state properties, which exhibit phase shifting of output signal owing to the short-term memory effect as depicted in Figure 1. Another important key point of RC is that the device maps input signals into higher dimensional computational spaces through the dynamics of a fixed, non-linear system that indicated by the generation of higher harmonics at the output as shown in Figure 2. Our study on RC devices using nanoparticles suggested a great potential for further time series prediction tasks such as speech recognition. The details will be presented at the conference.
[1] C. Battocchio et al., J. Phys. Chem. C 116, 19571 (2012)
[2] Hadiyawarman et al., Jpn. J. Appl. Phys. 59, 015001 (2020