Physics inspired ML approaches for Material Science: On the importance of 
experimental design and prior information

Toussaint, U. von

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Physics inspired ML approaches for Material Science: On the importance of experimental design and prior information

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Toussaint, U. von
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Toussaint, U. v. (2022). Physics inspired ML approaches for Material Science: On the importance of experimental design and prior information. Talk presented at 1st NOMATEN International Conference on Materials Informatics. Warsaw, Virtual. 2022-06-01 - 2022-06-03.

Cite as: https://hdl.handle.net/21.11116/0000-000D-3B81-F

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