Application of Machine Learning to Fischer–Tropsch Synthesis for Cobalt Catalysts

Motaev, Kirill; Molokeev, Maxim; Sultanov, Bulat; Kharitontsev, Vladimir; Matigorov, Alexey; Palianov, Mikhail; Azarapin, Nikita; Elyshev, Andrey

doi:10.1021/acs.iecr.3c03147

Ind. Eng. Chem. Res.

2023

DOI: 10.1021/acs.iecr.3c03147

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Application of Machine Learning to Fischer–Tropsch Synthesis for Cobalt Catalysts

Kirill Motaev,

Maxim Molokeev,

Bulat Sultanov

et al.

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Cited by 4 publications

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Application of Machine Learning to Fischer–Tropsch Synthesis for Cobalt Catalysts

Cited by 4 publications

References 56 publications

Application of machine learning for material prediction and design in the environmental remediation

Application of machine learning for material prediction and design in the environmental remediation

Parametric analysis of CO2 hydrogenation via Fischer-Tropsch synthesis: A review based on machine learning for quantitative assessment

Application of machine learning in the study of cobalt-based oxide catalysts for antibiotic degradation: An innovative reverse synthesis strategy

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