Dual Atom Catalysts for Energy and Environmental Applications

Tiancheng Pu; Jiaqi Ding; Fanxing Zhang; Ke Wang; Ning Cao; Emiel J.M. Hensen; Pengfei Xie

doi:10.1002/anie.202305964

Dual Atom Catalysts for Energy and Environmental Applications

Tiancheng Pu
, Jiaqi Ding
, Fanxing Zhang
, Ke Wang
, Ning Cao
, Emiel J.M. Hensen (Corresponding author)
, Pengfei Xie (Corresponding author)

Research output: Contribution to journal › Short survey › peer-review

249 Citations (Scopus)

1022 Downloads (Pure)

Abstract

The pursuit of high metal utilization in heterogeneous catalysis has triggered the burgeoning interest of various atomically dispersed catalysts. Our aim in this review is to assess key recent findings in the synthesis, characterization, structure-property relationship and computational studies of dual-atom catalysts (DACs), which cover the full spectrum of applications in thermocatalysis, electrocatalysis and photocatalysis. In particular, combination of qualitative and quantitative characterization with cooperation with DFT insights, synergies and superiorities of DACs compare to counterparts, high-throughput catalyst exploration and screening with machine-learning algorithms are highlighted. Undoubtably, it would be wise to expect more fascinating developments in the field of DACs as tunable catalysts.

Original language	English
Article number	e202305964
Number of pages	20
Journal	Angewandte Chemie - International Edition
Volume	62
Issue number	40
DOIs	https://doi.org/10.1002/anie.202305964
Publication status	Published - 2 Oct 2023

Funding

Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Funding numbers: 2021ST‐AT‐002 Natural Science Foundation of Zhejiang Province Acronym: ZJNSF Funding numbers: LR22B060002

Funders	Funder number
National Natural Science Foundation of China	22278365
National Key Research and Development Program of China	2022YFE0128600

Keywords

Characterization
Dual-Atom Catalysts
Electrocatalysis
Heterogeneous Catalysis
Machine-Learning

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abstract = "The pursuit of high metal utilization in heterogeneous catalysis has triggered the burgeoning interest of various atomically dispersed catalysts. Our aim in this review is to assess key recent findings in the synthesis, characterization, structure-property relationship and computational studies of dual-atom catalysts (DACs), which cover the full spectrum of applications in thermocatalysis, electrocatalysis and photocatalysis. In particular, combination of qualitative and quantitative characterization with cooperation with DFT insights, synergies and superiorities of DACs compare to counterparts, high-throughput catalyst exploration and screening with machine-learning algorithms are highlighted. Undoubtably, it would be wise to expect more fascinating developments in the field of DACs as tunable catalysts.",

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AU - Pu, Tiancheng

AU - Ding, Jiaqi

AU - Zhang, Fanxing

AU - Wang, Ke

AU - Cao, Ning

AU - Hensen, Emiel J.M.

AU - Xie, Pengfei

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N2 - The pursuit of high metal utilization in heterogeneous catalysis has triggered the burgeoning interest of various atomically dispersed catalysts. Our aim in this review is to assess key recent findings in the synthesis, characterization, structure-property relationship and computational studies of dual-atom catalysts (DACs), which cover the full spectrum of applications in thermocatalysis, electrocatalysis and photocatalysis. In particular, combination of qualitative and quantitative characterization with cooperation with DFT insights, synergies and superiorities of DACs compare to counterparts, high-throughput catalyst exploration and screening with machine-learning algorithms are highlighted. Undoubtably, it would be wise to expect more fascinating developments in the field of DACs as tunable catalysts.

AB - The pursuit of high metal utilization in heterogeneous catalysis has triggered the burgeoning interest of various atomically dispersed catalysts. Our aim in this review is to assess key recent findings in the synthesis, characterization, structure-property relationship and computational studies of dual-atom catalysts (DACs), which cover the full spectrum of applications in thermocatalysis, electrocatalysis and photocatalysis. In particular, combination of qualitative and quantitative characterization with cooperation with DFT insights, synergies and superiorities of DACs compare to counterparts, high-throughput catalyst exploration and screening with machine-learning algorithms are highlighted. Undoubtably, it would be wise to expect more fascinating developments in the field of DACs as tunable catalysts.

KW - Characterization

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KW - Electrocatalysis

KW - Heterogeneous Catalysis

KW - Machine-Learning

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Dual Atom Catalysts for Energy and Environmental Applications

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