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Data-driven optimization of urea-based solution combustion synthesis for Ni/Al2O3 catalysts: Unraveling the pore architecture-performance relationship in methane decomposition Full article

Journal Fuel
ISSN: 0016-2361 , E-ISSN: 1873-7153
Output data Year: 2027, Volume: 427, Article number : 140008, Pages count : 20 DOI: 10.1016/j.fuel.2026.140008
Authors Danilenko Marina A. 1 , Kurmashov Pavel B. 1 , Gudyma Tatiana S. 1 , Ukhina Arina V. 2 , Shishin Artyom A. 1 , Podgornova Olga A. 2 , Ishchenko Arcady V. 3 , Maksimovskiy Eugene A. 4 , Khajavian Mohammad 5 , Liu Fang 6 , Yang Li 6 , Bannov Alexander G. 1
Affiliations
1 Novosibirsk State Technical University, K. Marx. ave. 20, Novosibirsk 630073, Russia
2 Institute of Solid State Chemistry and Mechanochemistry SB RAS, Ulitsa Kutateladze 18, Novosibirsk 630128, Russia
3 Boreskov Institute of Catalysis SB RAS, Prospekt Akademika Lavrent’yeva 5, Novosibirsk 630090, Russia
4 Nikolaev Institute of Inorganic Chemistry SB RAS, Prospekt Akademika Lavrent’yeva 3, Novosibirsk 630090, Russia
5 Department of Environmental Engineering, College of Ocean Science and Engineering, National Korea Maritime and Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan 49112, the Republic of Korea
6 School of Low-carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China

Funding (1)

1
Cite: Danilenko M.A. , Kurmashov P.B. , Gudyma T.S. , Ukhina A.V. , Shishin A.A. , Podgornova O.A. , Ishchenko A.V. , Maksimovskiy E.A. , Khajavian M. , Liu F. , Yang L. , Bannov A.G.
Data-driven optimization of urea-based solution combustion synthesis for Ni/Al2O3 catalysts: Unraveling the pore architecture-performance relationship in methane decomposition
Fuel. 2027. V.427. 140008 :1-20. DOI: 10.1016/j.fuel.2026.140008 OpenAlex
Dates:
Submitted: Apr 1, 2026
Published print: Jan 1, 2027
Identifiers:
≡ OpenAlex: W7163330145
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