Describing Complex Polar Materials With Physics-Enhanced Machine Learning

Margraf, Johannes

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Describing Complex Polar Materials With Physics-Enhanced Machine Learning

Margraf, J. (2022). Describing Complex Polar Materials With Physics-Enhanced Machine Learning. Talk presented at ACS Spring Meeting 2022, Symposium, Complexity in Computational Catalysis: Balancing Model and Method Accuracy: Machine Learning and Kinetic Modeling. Online Event. 2022-03.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-DA0D-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-DA0E-2

Genre: Talk

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Creators:
Margraf, Johannes¹, Author

Affiliations:
1Theory, Fritz Haber Institute, Max Planck Society, ou_634547

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Language(s): eng - English

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Publication Status: Not specified

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Title: ACS Spring Meeting 2022, Symposium, Complexity in Computational Catalysis: Balancing Model and Method Accuracy: Machine Learning and Kinetic Modeling

Place of Event: Online Event

Start-/End Date: 2022-03

Invited: Yes

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