Physical Description of Long-Range Interactions in Atomistic Machine Learning 
Models

Margraf, Johannes

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Physical Description of Long-Range Interactions in Atomistic Machine Learning Models

Margraf, J. (2023). Physical Description of Long-Range Interactions in Atomistic Machine Learning Models. Talk presented at Seminars on Machine Learning in Quantum Chemistry and Quantum Computing for Quantum Chemistry (SMLQC). Online Event. 2023-05.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-E6CB-B Version Permalink: https://hdl.handle.net/21.11116/0000-000D-E6CC-A

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: Seminars on Machine Learning in Quantum Chemistry and Quantum Computing for Quantum Chemistry (SMLQC)

Place of Event: Online Event

Start-/End Date: 2023-05

Invited: Yes

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