Room temperature demonstration of in-materio reservoir computing for optimizing Boolean function with single-walled carbon nanotube/porphyrin-polyoxometalate composite

Deep Banerjee, Saman Azhari, Yuki Usami, Hirofumi Tanaka*

*この研究の対応する著者

研究成果: Article査読

3 被引用数 (Scopus)

抄録

A method for room temperature demonstration of in-materio reservoir computing (RC) with a single-walled carbon nanotube/porphyrin-polyoxometalate network (SWNT/Por-POM) is proposed. Boolean functions of OR, AND, NOR, NAND, XOR, and XNOR, all were reconstructed with an accuracy >90% via supervised training of linear voltage readouts. The RC pre-requisite of echo-state property and recurrent connection allowed for consistent performances over multiple test datasets and time-shifted target sequences. Moreover, a non-zero machine intelligence index confirmed the presence of negative differential resistance dynamics, incorporating in SWNT/Por-POM the mathematical equivalence of additive and subtractive functions, thereby aiding the construction of such complex Boolean functions.

本文言語English
論文番号105003
ジャーナルApplied Physics Express
14
10
DOI
出版ステータスPublished - 2021 10月
外部発表はい

ASJC Scopus subject areas

  • 工学(全般)
  • 物理学および天文学(全般)

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