Data-Centric Heterogeneous Catalysis: Identifying Rules and Materials Genes of Alkane Selective Oxidation

[Image: see text] Artificial intelligence (AI) can accelerate catalyst design by identifying key physicochemical descriptive parameters correlated with the underlying processes triggering, favoring, or hindering the performance. In analogy to genes in biology, these parameters might be called “mater...

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Detalles Bibliográficos
Autores principales: Foppa, Lucas, Rüther, Frederik, Geske, Michael, Koch, Gregor, Girgsdies, Frank, Kube, Pierre, Carey, Spencer J., Hävecker, Michael, Timpe, Olaf, Tarasov, Andrey V., Scheffler, Matthias, Rosowski, Frank, Schlögl, Robert, Trunschke, Annette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936587/
https://www.ncbi.nlm.nih.gov/pubmed/36745555
http://dx.doi.org/10.1021/jacs.2c11117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936587/
https://www.ncbi.nlm.nih.gov/pubmed/36745555
http://dx.doi.org/10.1021/jacs.2c11117

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