Interpretable Machine Learning for Accelerating Reverse Design and Optimizing CO2 Methanation Catalysts with High Activity at Low Temperatures

CO2 methanation represents a promising technological pathway for achieving efficient carbon dioxide resource utilization and mitigation of greenhouse gas emissions. However, the development of CO2 methanation catalysts with high activity at low temperatures (

Bibliographische Detailangaben

Veröffentlicht in:	Industrial & engineering chemistry research 2024-08, Vol.63 (33), p.14727-14747
Hauptverfasser:	Yang, Qingchun, Bao, Runjie, Rong, Dongwen, Xiao, Jingxuan, Zhou, Jianlong, Zhao, Lei, Zhang, Dawei
Format:	Artikel
Sprache:	eng
Schlagworte:	Process Systems Engineering
Online-Zugang:	Volltext
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