Effect of electronic state for in-materio physical reservoir computing performance with a porphyrin-polyoxometalate/single-walled carbon nanotube network
Year: 2025
Type: article
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.
Source: Applied Physics Letters
DOI: 10.1063/5.0245122
Institution: Kyushu Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: Realization and Fundamental Elucidation of Intelligent Processing Using Material Reservoirs with Extremely High Information Density, 超低消費電力マテリアルベースAIエッジシステムの開発, Creation of arithmetic hardware device that can be optimally driven under atmospheric conditions using nanomaterials, Innovative In-Sensor Computing Devices Using Random Network Structure Reservoirs, G3635356913, Development of ultra-low power consumption material reservoir using chemical dynamics of nanosystems, Elucidation of the Unzip Mechanism to Form Single-layer Graphene Nanoribbons and the Creation of Innovative Functions, Challenge for innovative brain device by random network in aggregation of Ag/Ag2s nanoparticles, G6790720585, Nanostructure memory devices and circuits toward VLSI implementation of hippocampus functions for next-generation artificial intelligence, G8242708996, G8389564885
OpenAlex ID: W4407961393