Artificial Intelligence workshop at EuXFELZoom Video Conference

Tuesday 8 Jun 2021, 08:45 → 18:00 Europe/Berlin

Arman Davtyan (Eur.XFEL (European XFEL)), Danilo Enoque Ferreira de Lima (Eur.XFEL (European XFEL)), Luca Gelisio (European XFEL), Steve Aplin (European XFEL)

Online workshop hosted by the European XFEL to discuss the latest development in Artificial Intelligence applied to photon science.

08:45 → 09:00 Welcome

Speaker: Robert Feidenhans'l (European XFEL)

09:00 → 09:25 Classification of diffraction patterns in single particle imaging experiments using a convolutional neural network

Speaker: Alexandr Ignatenko (Deutsches Elektronen-Synchrotron DESY)

Ignatenko_EuXFEL_2021-06-08.pdf

09:25 → 09:50 Improving the quality of the spectroscopic analysis by supervised machine learning

Speaker: Alexander Guda ( Southern Federal University)

09:50 → 10:15 ML applications within automated data analysis pipelines for MX at Diamond - current state and future plans

Speaker: Melanie Vollmar (Diamond Light Source)

ML_Diamond_pipelines_EuXFEL.pdf

10:15 → 10:45 Coffee break

10:45 → 11:10 Machine Learning for data reduction in serial x-ray diffraction imaging

Speaker: Alireza Sadri (Center for Free-Electron Laser Science (DESY))

11:10 → 11:35 Improving BESSY II Operation with ML Tools: RL for Beam Control

Speaker: Luis Vera Ramirez (Helmholtz-Zentrum Berlin)

20210608_EuXFEL_HZB_Vera.pdf

11:35 → 12:00 Reinforcement Learning parameter optimization of classical peak-finding and indexing methods

Speakers: Arman Davtyan (European XFEL), Danilo Enoque Ferreira de Lima (European XFEL)

RL_for_CrystFEL.pdf

12:00 → 12:25 ML-based sample centering for macromolecular x-ray crystallography with MXAimbot

Speaker: Isak Lindhé (MAX IV)

12:25 → 13:45 Lunch

13:45 → 14:10 Finding similarity in diffraction images using deep learning

Speaker: Julian Zimmermann (ETH Zürich)

14:10 → 14:35 Applied Deep Learning for Segmentation and Object Detection at DESY

Speaker: Philipp Heuser (Deutsches Elektronen-Synchrotron DESY)

14:35 → 15:00 ML-driven Reconstruction of X-ray Scattering Data

Speaker: Nico Hoffmann (Helmholtz-Zentrum Dresden-Rossendorf)

15:00 → 15:25 Application of neural networks to small angle scattering data analysis

Speaker: Dima Molodenskiy (European Molecular Biology Laboratory Hamburg)

15:25 → 15:55 Coffee break

15:55 → 16:20 Disentangling structural heterogeneity in X-ray single particle imaging

Speaker: Kartik Ayyer (Max Planck Institute for the Structure and Dynamics of Matter)

16:20 → 16:45 Phase retrieval via deep neural networks

Speaker: Longlong Wu (Brookhaven National Lab)

Phase Retrieval via Deep Neural Networks.pdf

16:45 → 17:10 Recovering the Phase and Amplitude of X-ray FEL Pulses with Neural Networks

Speaker: Daniel Fried Ratner (Stanford Linear Accelerator Center)

XFEL-Workshop-2021.pptx

17:10 → 17:25 Summary

Speaker: Luca Gelisio (European XFEL)

AI.pdf