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1	Motaev K. , Mikhailov I. , Molokeev M. , Azarapin N. , Grigoriev M. , Zhovanik I. , Zagoruiko A. , Elyshev A. Application of Machine Learning in the Study of CO2 Methanation Reaction at Ni-Containing Catalysts Chemical Engineering Science. 2026. V.321. 122912 :1-12. DOI: 10.1016/j.ces.2025.122912 Scopus OpenAlex
2	Sebaa M. , Motaev K. , Molokeev M. , Azarapin N. , Petrishena A. , Matigorov A. , Zagoruiko A. , Elyshev A. Optimization of Nickel-Based Catalysts for Hydrogenolysis of Light Paraffins Using Machine Learning Catalysis Science and Technology. 2025. V.15. N10. P.3226-3237. DOI: 10.1039/d5cy00024f WOS Scopus OpenAlex
3	Mikhailov I.A. , Grigoriev M.V. , Motaev K.A. , Matigorov A.V. , Lopatin S.A. , Zagoruiko A.N. , Elyshev A.V. Efficiency Study of Nickel-Containing Glass-Fiber Catalysts for CO2 Methanation e-Prime - Advances in Electrical Engineering, Electronics and Energy. 2024. V.10. 100774 :1-11. DOI: 10.1016/j.prime.2024.100774 Scopus OpenAlex
4	Motaev K. , Molokeev M. , Sultanov B. , Kharitonsev V. , Matigorov A. , Palianov M. , Azarapin N. Application of Machine Learning to Fischer−Tropsch Synthesis for Cobalt Catalysts Industrial and Engineering Chemistry Research. 2023. V.62. N48. 20658-20666 :1-9. DOI: 10.1021/acs.iecr.3c03147 WOS Scopus OpenAlex

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