Machine Learning for Chemistry

27 February - 1 March, 2024

Scientific Organizers: Alexandre Tkatchenko, University Luxenbourg

Lecturers and topics

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Alexandre Tkatchenko (University Luxembourg)
Introduction into ML / ML for Exploring Chemical Spaces

Gabor Csanyi (University Cambridge)
Machine Learning Potentials and Force Fields

Mariana Rossi (MPI Hamburg)
Machine Learning for Electronic Structure Properties

Nongnuch Artrith (Utrecht University)
Neural Networks and Materials Modeling