Dynamical stochastic simulation of complex electrical behavior in neuromorphic networks of metallic nanojunctions.

ABSTRACT: Nanostructured Au films fabricated by the assembling of nanoparticles produced in the gas phase have shown properties suitable for neuromorphic computing applications: they are characterized by a non-linear and non-local electrical behavior, featuring switches of the electric resistance whose activation is typically triggered by an applied voltage over a certain threshold. These systems can be considered as complex networks of metallic nanojunctions where thermal effects at the nanoscale cause the continuous rearrangement of regions with low and high electrical resistance. In order to gain a deeper understanding of the electrical properties of this nano granular system, we developed a model based on a large three dimensional regular resistor network with non-linear conduction mechanisms an

SUBMITTER: Mambretti F 

PROVIDER: S-EPMC9294002 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature