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Revealing the structure of the active sites for the electrocatalytic CO₂ reduction to CO over Co single atom catalysts using operando XANES and machine learning.

ABSTRACT: Transition-metal nitrogen-doped carbons (TM-N-C) are emerging as a highly promising catalyst class for several important electrocatalytic processes, including the electrocatalytic CO₂ reduction reaction (CO₂RR). The unique local environment around the singly dispersed metal site in TM-N-C catalysts is likely to be responsible for their catalytic properties, which differ significantly from those of bulk or nanostructured catalysts. However, the identification of the actual working structure of the main active units in TM-N-C remains a challenging task due to the fluctional, dynamic nature of these catalysts, and scarcity of experimental techniques that could probe the structure of these materials under realistic working conditions. This issue is addressed in this work

SUBMITTER: Martini A

PROVIDER: S-EPMC11226159 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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Dataset Information

Revealing the structure of the active sites for the electrocatalytic CO₂ reduction to CO over Co single atom catalysts using operando XANES and machine learning.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Revealing the structure of the active sites for the electrocatalytic CO2 reduction to CO over Co single atom catalysts using operando XANES and machine learning.

OmicsDI is part of the ELIXIR infrastructure

Tweets

Revealing the structure of the active sites for the electrocatalytic CO₂ reduction to CO over Co single atom catalysts using operando XANES and machine learning.