Workshop on machine learning methods in transmission electron microscopy

Time and place: October 28^th-29^th, 2024, Linköping University, Sweden

Register here: https://forms.office.com/e/My6c3zq46i

Important notice: if you are a NordTEMhub/ARTEMI member and registered before September 23rd, you do NOT have to reserve hotel room in Ekoxen by yourself. Rooms are already pre-reserved for you.

Workshop topics include:

• Denoising HR-TEM, STEM and EELS data.
• Image segmentation and atoms detection.
• Applications in scanning precession electron microscopy.
• AI-driven in-situ/operando experiments.
• Real time interpretation of materials properties and processes by bridging atomistic-level modeling and experimental data with machine learning.
• Microscopy data management.

Confirmed speakers:

Mitra Taheri, Johns Hopkins University, United States

Ivan Lobato, Rosalind Franklin Institute, United Kingdom

Jakob Schiøtz, Technical University of Denmark, Denmark

Antonius van Helvoort, Norwegian University of Science and Technology, Norway

Michael Felsberg, Linköping University, Sweden

Maria K. Chan, Argonne National Laboratory, United States