CRC 1459 - C06: Mixed-mode in-memory computing using adaptive phase-change materials

Basic data for this project

Description

In this project, we employ mixed-mode neuromorphic architectures to implement in-memory learning through electrically programmable artificial neurons and synapses based on phase-change materials. Optimal compositions will be devised, implemented, and tested using advanced fabrication methods and nanoscale analytics. We will develop and implement mixed-precision algorithms for in-memory learning and will apply our architecture for processing of external sensory input. In the long term, we strive to develop brain-inspired nanoscale computing devices, which are able to carry out adaptive optical information processing.