Optimization of nickel-based catalysts for hydrogenolysis of light paraffins using machine learning : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2025

Идентификатор DOI: 10.1039/d5cy00024f

Аннотация: <jats:p>This study demonstrates the successful application of machine learning for the hydrogenolysis reaction. The prediction of more than a million generated experiments opens the way to identify the potentially best catalyst in the specified range.</jats:p>

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Издание

Журнал: Catalysis Science and Technology

Выпуск журнала: Т.15, 10

Номера страниц: 3226-3237

ISSN журнала: 20444753

Персоны

  • Sebaa Mohamd (University of Tyumen, 625003, Tyumen, Russia)
  • Motaev Kirill (Boreskov Institute of Catalysis, Novosibirsk, 630090, Russia)
  • Molokeev Maxim (University of Tyumen, 625003, Tyumen, Russia)
  • Azarapin Nikita (University of Tyumen, 625003, Tyumen, Russia)
  • Petrishena Alina (University of Tyumen, 625003, Tyumen, Russia)
  • Matigorov Alexey (University of Tyumen, 625003, Tyumen, Russia)
  • Zagoruiko Andrey (Boreskov Institute of Catalysis, Novosibirsk, 630090, Russia)
  • Elyshev Andrey (University of Tyumen, 625003, Tyumen, Russia)

Вхождение в базы данных

  • Ядро РИНЦ (eLIBRARY.RU)