Machine Learning (ML) opened up completely new opportunities in Material Science. Together with advances in research data management and software tools ML got more and more accessible. This IKZ Berlin and FAIRmat joint winter school invites internationally renowned lecturers to introduce machine learning in materials science and crystal growth for any scientist new to the field.
There will be four main sessions:
- Introduction to ML/AI
- Data Mining & ML assisted experimenting
- ML with small data
- New potentials enabled by ML
The lectures are accompanied by a hands-on tutorial based on the NOMAD AI toolkit.
The winter school will be held in English as a hybrid event.
Registration deadline: 15-01-23