Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence

[Image: see text] The design of heterogeneous catalysts is challenged by the complexity of materials and processes that govern reactivity and by the fact that the number of good catalysts is very small in comparison to the number of possible materials. Here, we show how the subgroup-discovery (SGD)...

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Detalles Bibliográficos
Autores principales: Foppa, Lucas, Sutton, Christopher, Ghiringhelli, Luca M., De, Sandip, Löser, Patricia, Schunk, Stephan A., Schäfer, Ansgar, Scheffler, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862133/
https://www.ncbi.nlm.nih.gov/pubmed/35223138
http://dx.doi.org/10.1021/acscatal.1c04793

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862133/
https://www.ncbi.nlm.nih.gov/pubmed/35223138
http://dx.doi.org/10.1021/acscatal.1c04793

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