Photon Science

Running Projects

• Semi-Automatic 3D Reconstruction Processes for Stereoscopic Hard X-Ray Microscopy

• Coherence-Based X-Ray Microscopy: Automated Tuning and Uncertainty Quantification

• Combined Reconstruction Approach for Holotomography:
  Joint Phase Retrieval and Tomography

• Machine Learning and Time Domain Methods for Simulations in Nonlinear Optics

• AI-Powered XFEL Laser Operations: Boosting Uptime with Language Models

• Conceptual Foundations for Machine Learning in Engineering Using the Example of Tailored Laser Pulse Forming

• Quantum Simulations of Laser-Induced Electron Diffraction using Recurrent Neural Networks

• Phase Retrieval in Imaging and Speech Enhancement

• Advanced Simulation Methodology for Optimizing Aerodynamic Lenses used for Single-Particle Diffractive Imaging

• Dynamic Flat-Field Correction: From Intensities to Full Wave Fields

• Using Prior Knowledge for the Solution of Ill-Posed Inverse Problems in X-Ray Microscopy

• Modeling X-Ray Superfluorescence by Stochastic Differential Equations

• Stochastic Phase-Space Sampling of Collective Light-Matter Interaction

• OPAL-FEL | Optimized Laser Pulses for Free-Electron Lasers

• Enhancing Phase-Contrast Micro-CT Imaging through Machine Learning