Machine learning-enhanced optimal catalyst selection for water-gas shift reaction
The water-gas shift (WGS) reaction is pivotal in industries aiming to convert carbon monoxide, a byproduct of steam reforming of methane and other hydrocarbons, into carbon dioxide and hydrogen. Selecting an effective catalyst for this transformation poses a substantial challenge, as it requires a d...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2024-09-01
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| Серии: | Digital Chemical Engineering |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2772508124000279 |
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