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Computational Catalyst Design for Dry Reforming of Methane: A Review

Authors
윤영준유효민Kim, Hyung JunCurnan, Matthew T.Kim, KyeounghakHan, Jeong Woo
Issue Date
Sep-2022
Publisher
American Chemical Society
Citation
Energy & Fuels, v.36, no.17, pp 9844 - 9865
Pages
22
Indexed
SCIE
SCOPUS
Journal Title
Energy & Fuels
Volume
36
Number
17
Start Page
9844
End Page
9865
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189574
DOI
10.1021/acs.energyfuels.2c01776
ISSN
0887-0624
1520-5029
Abstract
Because of the recent global warming environmental issues, dry reforming of methane (DRM)-which converts greenhouse gases (CO2 and CH4) into syngases (CO and H-2) -is receiving significant attention. Recently, density functional theory (DFT) calculations have been effectively used to obtain fundamental information on DRM reactions. The DFT calculations can provide valuable theoretical knowledge in various heterogeneous catalyst systems, which is difficult to derive from experiments alone due to the complexity of reaction pathways. This work introduces theoretical studies concerning the most plausible reaction pathways, catalytic activities, and stabilities of Niand non-Ni-based metal catalysts. The review includes fundamental analyses of reaction mechanisms, catalytic activities, and several strategies to improve the catalytic properties of Niand non-Ni-based catalysts. Such strategies include doping, introducing promoters, forming bimetallics, and utilizing various catalyst supports. In addition, DFT-based descriptors provide guidelines for DRM catalyst design in terms of activity and stability. In conclusion, this review also suggests DFT-based analyses of catalysts based on morphological and compositional engineering, such as core-shell nanoparticles, single-atom catalysts, phosphides, and reduced solid solution catalysts. Finally, this review suggests a rational catalyst design for DRM by tuning catalytic properties based on engineered catalyst characteristics under a comprehensive understanding provided by DFT calculations and experiments.
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