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...
שמור ב:
| Principais autores: | , , , |
|---|---|
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Elsevier
2024-09-01
|
| סדרה: | Digital Chemical Engineering |
| נושאים: | |
| גישה מקוונת: | http://www.sciencedirect.com/science/article/pii/S2772508124000279 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|