Clean Experimental Data for Artificial Intelligence – A Key to Decoding 
Materials Genes in Heterogeneous Catalysis

Foppa, Lucas

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Clean Experimental Data for Artificial Intelligence – A Key to Decoding Materials Genes in Heterogeneous Catalysis

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Foppa, Lucas
NOMAD, Fritz Haber Institute, Max Planck Society;

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Foppa, L. (2022). Clean Experimental Data for Artificial Intelligence – A Key to Decoding Materials Genes in Heterogeneous Catalysis. Talk presented at The 27th North American Catalysis Society Meeting (NAM27). New York, NY, USA. 2022-05.

Cite as: https://hdl.handle.net/21.11116/0000-000A-A525-2

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