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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 18: Organic Electronics and Photovoltaics I

CPP 18.1: Hauptvortrag

Dienstag, 19. März 2024, 09:30–10:00, H 0110

Via bottom-up synthesis of nanoobjects and nanocomposites towards brain-inspired electronics — •Alexander Vahl — Chair for Multicomponent Materials & Kiel Nano, Surface and Interface Science KiNSIS, Kiel University, Kiel, Germany

The recent rapid developments in artificial intelligence require artificial neural networks with growing complexity, increasingly large training data and steeply rising power consumption bringing contemporary artificial neural networks based on conventional silicon technology to the limits. In contrast, neuron assemblies rely on bottom-up network development in soft matter and continuous stimulus-dependent optimization via dynamic reconfigurations, ultimately achieving an outstanding energy efficiency and robustness. To explore these aspects in brain-inspired electronics, conventional deposition approaches in microtechnology are to be complemented by bottom-up self-organization processes, organic matrices and flexible substrates. This contribution showcases nanoobjects, such as Ag based nanoparticles (NPs) prepared by gas phase synthesis, as interesting building units for brain-inspired electronics on unconventional substrates. Resistive switching is demonstrated for a metal/dielectric nanocomposite with threshold characteristics, directly fabricated onto the apex of conductive AFM cantilevers, as well as for AgAu NPs integrated into sparse, self-organized NP/CNT networks, and also in nanofluids, which are obtained via direct incorporation of Ag NPs into polymer matrices. For highly interconnected NP networks, brain-like avalanches and scale-free switching properties are demonstrated.

Keywords: resistive switching; brain-inspired electronics; nanoparticles; self-organization; neuromorphic engineering