Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach

Designing novel catalysts is key to solving many energy and environmental challenges. Despite the promise that data science approaches, including machine learning (ML), can accelerate the development of catalysts, truly novel catalysts have rarely been discovered through ML approaches because of one...

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Detalles Bibliográficos
Autores principales: Wang, Gang, Mine, Shinya, Chen, Duotian, Jing, Yuan, Ting, Kah Wei, Yamaguchi, Taichi, Takao, Motoshi, Maeno, Zen, Takigawa, Ichigaku, Matsushita, Koichi, Shimizu, Ken-ichi, Toyao, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514199/
https://www.ncbi.nlm.nih.gov/pubmed/37735169
http://dx.doi.org/10.1038/s41467-023-41341-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514199/
https://www.ncbi.nlm.nih.gov/pubmed/37735169
http://dx.doi.org/10.1038/s41467-023-41341-3

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