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

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

Журнал

Industrial & Engineering Chemistry Research
ISSN: 0888-5885 , E-ISSN: 1520-5045

Вых. Данные

Год: 2023, Том: 62, Номер: 48, Страницы: 20658-20666 Страниц : DOI: 10.1021/acs.iecr.3c03147

Авторы

Motaev Kirill ¹ , Molokeev Maxim ¹ , Sultanov Bulat ² , Kharitontsev Vladimir ¹ , Matigorov Alexey ¹ , Palianov Mikhail ¹ , Azarapin Nikita ^3,1 , Elyshev Andrey ^2,1

Организации

1	Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia
2	Laboratory of Digital Catalysis of Centre for Nature-Inspired Engineering, University of Tyumen, 625003 Tyumen, Russia
3	Institute of Chemistry, University of Tyumen, 625003 Tyumen, Russia

Motaev K. , Molokeev M. , Sultanov B. , Kharitontsev V. , Matigorov A. , Palianov M. , Azarapin N. , Elyshev A.
Application of Machine Learning to Fischer–Tropsch Synthesis for Cobalt Catalysts
Industrial & Engineering Chemistry Research. 2023. V.62. N48. P.20658-20666. DOI: 10.1021/acs.iecr.3c03147 Scopus OpenAlex

Scopus:	2-s2.0-85179108977
OpenAlex:	W4388826011

БД	Цитирований
OpenAlex	15
Scopus	15