CRC 1459 - C05: Coherent nanophotonic neural networks with adaptive molecular systems

Basic data for this project

Type of projectSubproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster01/01/2025 - 31/12/2028 | 2nd Funding period

Description

The goal of this project is to develop and evaluate fundamental building blocks for optical artificial neural networks based on coherent nanophotonic circuits. The implementation of effective nonlinear photo-responsive systems has emerged as a primary challenge for novel realizations of optical neural networks for deep-learning applications. By comparing different systems, considering both optical-computing and computer-science aspects, a variety of requirements for nanophotonic neural networks will be determined. Crucial challenges in achieving light-matter interaction at the microscale that is strong enough to yield the nonlinear optical behaviour required for activation functions in optical neural networks will be addressed.

Keywordsnanoscience; Adaptive solid-state nanosystems
Website of the projecthttps://www.uni-muenster.de/SFB1459/research/index.html
DFG-Gepris-IDhttps://gepris.dfg.de/gepris/projekt/455336069
Funding identifierSFB 1459/2, C05 | DFG project number: 433682494
Funder / funding scheme
  • DFG - Collaborative Research Centre (SFB)

Project management at the University of Münster

Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Schuck, Carsten
Professorship of Experimental Physics (Prof. Schuck)

Applicants from the University of Münster

Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Schuck, Carsten
Professorship of Experimental Physics (Prof. Schuck)