Effect of electronic state for in-materio physical reservoir computing performance with a porphyrin-polyoxometalate/single-walled carbon nanotube network

Y Yuki Usami (Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,) S Shuho Murazoe (Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,) D Deep Banerjee (Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,) T Takumi Kotooka (Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,) H Hirofumi Tanaka

Abstract

Semiconducting single-walled carbon nanotube (SWNT)/porphyrin-polyoxometalate (por-POM) networks were fabricated using [H4tBuTPP]2[SV2W10O40] (tBu H4TPP-POM) and [H4TPP]2[SV2W10O40] (H4TPP-POM) to compare their reservoir computing (RC) performances. Nonlinear electrical properties, phase shifts, and higher harmonics, which are required for superior RC performances, were generated in SWNT/por-POM networks. Lissajous plots show various phase shifts as the input frequency decreases, reflecting the relaxation time of the dynamics in the por-POMs. The SWNT/H4TPP-POM network exhibits the best performance of the RC benchmark task, indicating that H4TPP-POM generates rich chemical dynamics based on different charge accumulation with different electronic state in por-POM.

Article Details

Volume / Issue Vol. 126, Issue 8
Published February 01, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (5)

Y

Yuki Usami

Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,

S

Shuho Murazoe

Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,

D

Deep Banerjee

Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,

T

Takumi Kotooka

Department of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology (Kyutech) 1 , 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196,

H

Hirofumi Tanaka