CRC 1459 C03 - Self-assembly of hybrid nanostructures for neuromorphic electronics

Basic data for this project

Description

Disordered networks of functionalized metal nanoparticles can be configured into devices such as classifiers. Here we significantly enhance the functionality of these devices by introducing organic ligands that can be switched between different configurations and/or charge states. Additionally, we will also use magnetic nanoparticles. These new features will not only enhance the addressability, but will also introduce memory, allowing to tackle new (time-dependent) problems. By directly connecting chemical synthesis, physical experiment, and simulation of data-driven and physical models, the project will explore the development of intelligent matter based on Material Learning.