Project Details
Memsensors in Dynamically Configurable Network Systems (C02)
Subject Area
Biomaterials
Computer-Aided Design of Materials and Simulation of Materials Behaviour from Atomic to Microscopic Scale
Computer-Aided Design of Materials and Simulation of Materials Behaviour from Atomic to Microscopic Scale
Term
since 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 434434223
The project investigates artificial natural neural networks by addressing the aspects of parallelism and hierarchy, dynamic self-organization, and distributed detection and processing. To find a technological representation of these aspects, memristive and sensor elements will be combined with oscillators, decentral power supply and passive elements. Network connections will be generated by 3D printing of crossbar-like structures and triggered self-assembly of interconnections. Memsensors will involve wide band gap semiconductors and plasmonic nanoparticles for photon sensing. Later, the network will be extended to 3D and sensing of other stimuli such as local magnetic field or local forces, for instance.
DFG Programme
Collaborative Research Centres
Applicant Institution
Christian-Albrechts-Universität zu Kiel
Project Heads
Professor Dr. Rainer Adelung; Professor Dr. Franz Faupel, until 12/2024