Group C2

Memsensors in Dynamically Configurable Network Systems

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.


Project Management
Prof. Dr. Rainer AdelungProf. Dr. Franz Faupel
Associated Doctoral Researchers
Maik-Ivo Terasa
Doctoral Researchers
Rohit GuptaRoshani Madurawala


Science News: Tiny memory cell withstands extreme temperatures


Next CRC-colloquium on Oct. 26, 2023: Claudia Tortiglione (NRC, Italy)


Visit the CRC 1461 at the AI-experience day in Lübeck (Nov. 8, 2023)