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From: Computational advances in electrochemical CO₂ reduction: design of copper-based and atomically dispersed catalysts, interfacial dynamics, and machine learning

Computational advances in electrochemical CO<sub>2</sub> reduction: design of copper-based and atomically dispersed catalysts, interfacial dynamics, and machine learning

Figure 8. CoPc catalysts supported on a CNT for eCO₂R. (A) Curvature-induced local strain effect; (B) FE of CH₃OH, CO and H₂ in an H-cell with 0.5 M KHCO₃ as electrolyte; (C) FE of CH₃OH, CO and H₂ in a flow cell with 0.1 M KOH + 3 M KCl as electrolyte; (D) Current density in a flow cell. (A-D) reproduced from Ref.^[153] under the terms of the Creative Commons CC-BY 4.0 license. CNT: Carbon nanotube; eCO₂R: electrochemical CO₂ reduction; FE: Faradaic efficiency; SWCNT: single-walled carbon nanotubes; RHE: reversible hydrogen electrode.

fig8

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Committee on Publication Ethics

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