SISSO: A Compressed-Sensing Method for Systematically Identifying Efficient 
Physical Models of Materials Properties

Ouyang, Runhai

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SISSO: A Compressed-Sensing Method for Systematically Identifying Efficient Physical Models of Materials Properties

Ouyang, R. (2018). SISSO: A Compressed-Sensing Method for Systematically Identifying Efficient Physical Models of Materials Properties. Talk presented at NOMAD Summer - A hands-on course on tools for novel-materials discovery, CECAM. Lausanne, Switzerland. 2018-09.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-CACD-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-B128-7

Genre: Talk

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Creators:
Ouyang, Runhai¹, Author

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

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Language(s): eng - English

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Title: NOMAD Summer - A hands-on course on tools for novel-materials discovery, CECAM

Place of Event: Lausanne, Switzerland

Start-/End Date: 2018-09

Invited: Yes

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