Data-driven optimization of urea-based solution combustion synthesis for Ni/Al2O3 catalysts: Unraveling the pore architecture-performance relationship in methane decomposition Full article
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Fuel
ISSN: 0016-2361 , E-ISSN: 1873-7153 |
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| Output data | Year: 2027, Volume: 427, Article number : 140008, Pages count : 20 DOI: 10.1016/j.fuel.2026.140008 | ||||||||||||
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| Affiliations |
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Funding (1)
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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
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 |