Presentation Information

[8p-N201-8]Evaluation of Nanoflower structure MoSe2 device for Physical Reservoir Computing

〇Koki Nietani1, Alif Syafiq Kamarol Zaman1, Yuki Usami1,2, Hirofumi Tanaka1,2 (1.LSSE, Kyushu Inst. Tech., 2.Neumorph Center, Kyushu Inst. Tech)
PDF DownloadDownload PDF

Keywords:

Reservoir Computing,Edge AI,2D materials

In this study, we evaluated a physical reservoir computing (RC) device based on molybdenum diselenide with a nanoflower structure (MoSe2 NF). The MoSe2 NF was deposited alone on a Si substrate, and I-V characteristics were measured across multiple electrodes. The results revealed strong nonlinearity and the presence of high-order harmonic components. In a waveform generation task, signals obtained from all output electrodes enabled accurate waveform reconstruction, and the evaluation of short-term memory capacity also demonstrated favorable retention performance. These findings suggest that MoSe2 NF is a highly promising material for high-performance RC devices.

Comment

To browse or post comments, you must log in.Log in