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.
| Pernice, Wolfram | |
| Salinga, Martin |
| Pernice, Wolfram | |
| Salinga, Martin |
| Pernice, Wolfram |
Duration: 01/01/2025 - 31/12/2028 | 2nd Funding period Funded by: DFG - Collaborative Research Centre Type of project: Subproject in DFG-joint project hosted at University of Münster |
Duration: 01/01/2021 - 31/12/2024 | 1st Funding period Funded by: DFG - Collaborative Research Centre Type of project: Main DFG-project hosted at University of Münster |