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

Описание

Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.1021/acs.iecr.3c03147

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Издание

Журнал: Industrial and Engineering Chemistry Research

Выпуск журнала: Т.62, 48

Номера страниц: 20658-20666

ISSN журнала: 08885885

Издатель: American Chemical Society

Персоны

  • Motaev Kirill (Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia)
  • Molokeev Maxim (Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia)
  • Sultanov Bulat (Laboratory of Digital Catalysis of Centre for Nature-Inspired Engineering, University of Tyumen, 625003 Tyumen, Russia)
  • Kharitontsev Vladimir (Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia)
  • Matigorov Alexey (Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia)
  • Palianov Mikhail (Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, 625003 Tyumen, Russia)
  • Azarapin Nikita (Institute of Chemistry, University of Tyumen, 625003 Tyumen, Russia)
  • Elyshev Andrey (Laboratory of Digital Catalysis of Centre for Nature-Inspired Engineering, University of Tyumen, 625003 Tyumen, Russia)

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