CRC 1459 - C03: Self-assembly of hybrid nanostructures for brain-inspired electronics

Basic data for this project

Description

Disordered nanomaterial networks exhibit complex energy landscapes that can be tuned towards reconfigurable computational functionality. Here, we focus on realizing local memory in nanoparticle networks using dynamic molecular junctions based on molecular switches. The electronic properties of these networks will be investigated experimentally and in simulations. We aim to achieve short-term memory, adaptive and learning properties of the network in response to optical and electrical stimuli. Additionally, long-term memory will be introduced by integration of magnetic nanoparticles in the network.