Contributed talks

Day 1 (26.05)

• 15:45-16:00 Malte Grunert: OptiMate: ML for UV-VIS spectra of crystalline solids
• 16:00-16:15 Nathalie Brun: EELS EELS hyperspectral images unmixing using autoencoders
• 16:15-16:30 Dario Baum: Fast and Simple Complete Basis Set qsGW Calculations
• 16:30-16:45 Arno Annys: Nanoscale spectroscopy inside the electron microscope
• 16:45-17:00 Sabana Shabnam: Coupling molecular dynamics (MD) with multiple scattering calculations for the understanding of time dependent surface phenomena
  

Day 2 (27.05)

• 15:45-16:00 Della Valle Andrea: Machine learning recognition of Volatile Organic Compounds absorption spectra based on experimental and synthetic data
• 16:00-16:15 Laurens de Boer: Carotenoids in algal biomass: coupling quantum chemistry to AI to solve the conformer puzzle
• 16:15-16:30 Max Großmann: Towards machine learning of dielectric functions of metals: Dataset creation, challenges, and opportunities
• 16:30-16:45 Daria M. Tomecka: Real, Fake or Just Useful? Generation and Evaluation of Synthetic Steel Micrographs with Physical Constraints
• 16:45-17:00 Joël Eymery: Non-negative Matrix Factorization for Excited X-Ray Luminescence

Day 3 (28.05)

• 14:30-14:45 Mandrira Das: Decoding Aerosol Surface Chemistry: Insights from XPS Spectra via DFT and Machine Learning
• 14:45-15:00 Thomas P. van Waas: Learning the many-body properties from angle-resolved photoemission spectroscopy 
• 15:00-15:15 Trung-Phuc Vo: Theoretical and experimental HARPES study of Weyl-semimetal TaAs: The application of machine-learning
• 15:15-15:30 Strocov Vladimir: Photoemission Final States Beyond the Free-Electron Approximation
• 15:30-15:45 Federico Zecchi: Exploring the Limits of Machine Learning Algorithms for the Classification of X-ray Absorption Spectra