CRC 1459 - C05: Coherent nanophotonic neural networks with adaptive molecular systems
Basic data for this project
Type of project: Subproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster: 01/01/2021 - 31/12/2024 | 1st Funding period
Description
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.
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/455336069
Funding identifier: SFB 1459/1, C05 | DFG project number: 433682494
Funder / funding scheme:
- DFG - Collaborative Research Centre (SFB)
Project management at the University of Münster
| Risse, Benjamin | Junior professorship for practical computer science (Prof. Risse) Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Schuck, Carsten | Junior professorship for integration and manipulation of quantum emitters (Prof. Schuck) |
Applicants from the University of Münster
| Risse, Benjamin | Junior professorship for practical computer science (Prof. Risse) Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |
| Schuck, Carsten | Junior professorship for integration and manipulation of quantum emitters (Prof. Schuck) |