Projects

We regularly conduct research projects with our partners. Here is a selection or current and recent projects:

Simulation and machine learning for high-precision dimensional microscopy (SiM4diM) In many industrial sectors, optical microscopes are used to measure micro- and nanostructures, as they enable non-destructive and rapid inspection of manufacturing processes. Due to wave-optical effects, such as light diffraction at object edges or unavoidable imaging errors of the optical…
Machine Learning for the Multi-Parameter Optimization of Atomic Quantum Sensors (OPTIMAL-QT) The optimization of experimental parameters in experiments with ultracold atoms is a long and complex process. The sheer number of possible parameters and correlations among them is difficult to grasp and often requires lengthy manual optimization by the senior…
Scalable Nano-Photonic Concepts and Stability of Hybrid Perovskite Semiconductors for Tandem Photovoltaics (SNAPSHOTS) The project focuses on three key objectives essential for the development of efficient and stable large-area hybrid tandem device technology: improving light harvesting in hybrid tandem solar cells, achieving long-term stability evaluation and accelerated device testing, as…
Quantifying Parameter Uncertainties and Sensitivities (QUPUS) The goal of the project is the development of a software toolbox for convenient numerical investigations regarding uncertainty quantication. Through the use of innovative numerical methods such as of the polynomial chaos method, the dependency between the simulation results and the uncertainties of the…
Fibre-coupled semiconductor single-photon source for secure quantum-communication in the 1.3 ┬Ám range (FI-SEQUR) In this project, the consortium partners jointly develop an efficient an efficient single-photon source with an optically excited semiconductor quantum dot as emitter providing single photons on demand. The device will be suitable for local-area secure data…
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