[23p-1BB-1~18] 12.2 Characterization and Materials Physics

2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)English Presentation

[23p-1BB-5] Non-linear information processing arising from a random network of organic functionalized single-walled carbon nanotube system

〇(P)Deep Banerjee¹, Yuki Usami^1,4, Hiroyuki Furuta^2,3, Hirofumi Tanaka^1,4 (1.KYUTECH, 2.Ritsuneikan Univ, 3.Kyushu Univ, 4.Neumroph Center)

Keywords:

single walled carbon naotube,porphyrin,non liner information processing

Mimicking neural network architectures on hardware level are highly being sort after as an alternative to von-Neumann based AI computation for energy efficient purpose. For this, nanomaterials with random network architecture, non-linear dynamics and temporal information encoding are becoming the key platform to approach this paradigm shift. Herein, we use a mixture of single-walled carbon nanotube (SWNT) networks and N-confused porphyrin (NCP) and study its dynamical properties through spectro-electrical techniques. Owing to the low energy optical non-linearity of NCP due to HOMO-LUMO degeneracy breaking of the rotated pyrrole ring,^[1] we believe that the SWNT-NCP complex can hold the potential for future AI computing.