Mixed-mode in-memory computing using adaptive phase-change materials (C06)

• Subject Area: Experimental Condensed Matter Physics ; Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 433682494

We develop neuromorphic architectures that exploit phase-change materials to implement in-memory computing. Nanophotonic waveguides will allow for realizing high-bandwidth neuromorphic processors with both optical and electrical feedback. Nanoscale artificial synapses will be based on phase-change materials, which are electrically programmed into multiple memory states for weighted optical readout. Using material engineering and spatially resolved phase-state assignment, we will create interconnected logic arrays for mixed-mode information processing.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1459: Intelligent matter: From responsive to adaptive nanosystems
• Applicant Institution: Universität Münster
• Project Heads: Professor Dr. Wolfram Hans Peter Pernice; Professor Dr. Martin Salinga