This project targets the implementation and performance evaluation of elementary linear and nonlinear building blocks for coherent optical artificial neural networks. The focus will lie on integrating a large variety of nonlinear photo-responsive chemical and molecular systems developed within this CRC with nanophotonic devices that allow for straightforward replication. We will assess the characteristics of the resultant building blocks for dedicated training, regularization and explainable AI strategies to derive tailored analysis and optimization algorithms. This interdisciplinary combination will yield nanophotonic neural network components and accompanying digital twins that pave the way for large-scale artificial intelligence.
| Risse, Benjamin | |
| Schuck, Carsten |
| Risse, Benjamin | |
| Schuck, Carsten |
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 |