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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-3B81-F Version Permalink: https://hdl.handle.net/21.11116/0000-000D-48B4-7

Genre: Talk

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Creators:
Toussaint, U. von¹, Author

Affiliations:
1Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344

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Language(s): eng - English

Dates: Submitted: 2022

Publication Status: Submitted

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Title: 1st NOMATEN International Conference on Materials Informatics

Place of Event: Warsaw, Virtual

Start-/End Date: 2022-06-01 - 2022-06-03

Invited: Yes

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