Photon Science

Running Projects

• Artificial Intelligence for Enhancing Operation and Exploitation of X-ray Free-Electron Lasers (AIOPs4XFEL)

• Exploring Strategies for Data-Driven Motion Control of Multi-Modal Actuators in Synchrotron Experimentation

• Proactive, Not Reactive: Anticipating and Mitigating Faults in XFEL Photocathode Lasers

• Efficient Computational Methods for Nuclear Quantum Dynamics

• Numerically-Driven Model Predictive Control and Optimization for Adaptive Sono-Photonic Laser Beam Control

• 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

• Phase Retrieval in Imaging and Speech Enhancement

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

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

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