Literature DB >> 27526778

Bifunctional Interface of Au and Cu for Improved CO2 Electroreduction.

Seoin Back1, Jun-Hyuk Kim2,3, Yong-Tae Kim2, Yousung Jung1.   

Abstract

Gold is known currently as the most active single-element electrocatalyst for CO2 electroreduction reaction to CO. In this work, we combine Au with a second metal element, Cu, to reduce the amount of precious metal content by increasing the surface-to-mass ratio and to achieve comparable activity to Au-based catalysts. In particular, we demonstrate that the introduction of a Au-Cu bifunctional "interface" is more beneficial than a simple and conventional homogeneous alloying of Au and Cu in stabilizing the key intermediate species, *COOH. The main advantages of the proposed metal-metal bifunctional interfacial catalyst over the bimetallic alloys include that (1) utilization of active materials is improved, and (2) intrinsic properties of metals are less affected in bifunctional catalysts than in alloys, which can then facilitate a rational bifunctional design. These results demonstrate for the first time the importance of metal-metal interfaces and morphology, rather than the simple mixing of the two metals homogeneously, for enhanced catalytic synergies.

Entities:  

Keywords:  CO2 electroreduction; bifunctional effects; density functional calculations; electrocatalyst; gold

Year:  2016        PMID: 27526778     DOI: 10.1021/acsami.6b05903

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  3 in total

1.  Real-Time In Situ Monitoring of CO2 Electroreduction in the Liquid and Gas Phases by Coupled Mass Spectrometry and Localized Electrochemistry.

Authors:  Guohui Zhang; Youxin Cui; Anthony Kucernak
Journal:  ACS Catal       Date:  2022-05-10       Impact factor: 13.700

2.  Nano-crumples induced Sn-Bi bimetallic interface pattern with moderate electron bank for highly efficient CO2 electroreduction.

Authors:  Bohua Ren; Guobin Wen; Rui Gao; Dan Luo; Zhen Zhang; Weibin Qiu; Qianyi Ma; Xin Wang; Yi Cui; Luis Ricardez-Sandoval; Aiping Yu; Zhongwei Chen
Journal:  Nat Commun       Date:  2022-05-05       Impact factor: 17.694

3.  Active learning with non-ab initio input features toward efficient CO2 reduction catalysts.

Authors:  Juhwan Noh; Seoin Back; Jaehoon Kim; Yousung Jung
Journal:  Chem Sci       Date:  2018-04-17       Impact factor: 9.825

  3 in total

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