fig9

Superior single-atom and single-cluster catalysts towards electrocatalytic nitrogen reduction reactions: a theoretical perspective

Figure 9. (A) The workflow of ML to explore the origins of catalysis. Reprinted with permission from Ref.[118]. Copyright © 2023 The Authors. Energy & Environmental Materials published by John Wiley & Sons Australia, Ltd on behalf of Zhengzhou University; (B) ML screening and descriptor building framework of the work by Zhang et al.; (C) Workflow of the ML screening process as well as the number of selected candidates after each screening step of the work by Zhang et al. Reprinted with permission from Ref.[119]. Copyright © 2021 Zhengzhou University. ML: Machine learning.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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