Workshop on machine learning methods in transmission electron microscopy
Time and place: October 28th-29th, 2024, Linköping University, Sweden
Register here: https://forms.office.com/e/My6c3zq46i
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
Final program and registration will be available from September 1st