Liquid metal-based catalysts for the electroreduction of carbon dioxide into solid carbon

被引：15

作者：

Irfan, Mehmood ^{[1
]}

Zuraiqi, Karma ^{[1
]}

Nguyen, Chung Kim ^{[1
]}

Le, Tu C. C. ^{[2
]}

Jabbar, Fahad ^{[1
]}

Ameen, Mariam ^{[1
]}

Parker, Caiden J. J. ^{[1
]}

Chiang, Ken ^{[1
]}

Jones, Lathe A. A. ^{[3
]}

Elbourne, Aaron ^{[3
]}

McConville, Christopher F. F. ^{[3
,4
]}

Yang, Dan ^{[1
]}

Daeneke, Torben ^{[1
]}

机构：

[1] RMIT Univ, Sch Engn, Melbourne, Vic, Australia

[2] RMIT Univ, Sch Engn, Mfg Mat & Mechatron, Melbourne, Vic, Australia

[3] RMIT Univ, Sch Sci, Melbourne, Vic, Australia

[4] Deakin Univ, Inst Frontier Mat, Geelong, Vic 3216, Australia

来源：

JOURNAL OF MATERIALS CHEMISTRY A | 2023年 / 11卷 / 27期

基金：

澳大利亚研究理事会;

关键词：

BLACK CARBON; CO2; OXIDE; RAMAN; CHROMIUM(III); SPECTROSCOPY; GRAPHITE; GRAPHENE; COMPLEX; COPPER;

D O I：

10.1039/d3ta01379k

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The emergence of liquid metal catalysts endows electrocatalytic processes with enhanced efficiencies by eliminating coking issues that rapidly deactivate conventional solid catalysts. Alloying them with trace amounts of redox-active metal additives can further improve their catalytic activity. Here we report a vanadium-liquid metal alloy with superior activity that can drive electrochemical reduction of CO2 into solid carbon. The reaction mechanism has been thoroughly investigated and discussed. In addition, artificial neural networks trained by machine learning have been demonstrated to be powerful in predicting performance of LM alloys with various compositions.

引用

页码：14990 / 14996

页数：7

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