CRC 1459 - C06: Mixed-mode in-memory computing using adaptive phase-change materials
Basic data for this project
Type of project: Subproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster: 01/01/2025 - 31/12/2028 | 2nd Funding period
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.
Keywords: nanoscience; Adaptive solid-state nanosystems
Website of the project: https://www.uni-muenster.de/SFB1459/research/index.html
DFG-Gepris-ID: https://gepris.dfg.de/gepris/projekt/455336249
Funding identifier: SFB 1459/2, C06 | DFG project number: 433682494
Funder / funding scheme:
- DFG - Collaborative Research Centre (SFB)
Project management at the University of Münster
| Pernice, Wolfram | |
| Salinga, Martin |
Applicants from the University of Münster
| Pernice, Wolfram | |
| Salinga, Martin |
Project partners outside the University of Münster
- Heidelberg UniversityGermany
Projects of the previous funding period
Duration: 01/01/2021 - 31/12/2024 | 1st Funding period Funded by: DFG - Collaborative Research Centre Type of project: Subproject in DFG-joint project hosted at University of Münster |
Related main project
Duration: 01/01/2025 - 31/12/2028 | 2nd Funding period Funded by: DFG - Collaborative Research Centre Type of project: Main DFG-project hosted at University of Münster |