Self-assembly of hybrid nanostructures for neuromorphic electronics (C03)

• Subject Area: Organic Molecular Chemistry - Synthesis and Characterisation ; Theoretical Chemistry: Molecules, Materials, Surfaces
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 433682494

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.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1459: Intelligent matter: From responsive to adaptive nanosystems
• International Connection: Netherlands
• Applicant Institution: Universität Münster
• Project Heads: Professor Dr. Andreas Heuer; Professor Dr. Bart Jan Ravoo; Professor Dr. Wilfred van der Wiel