Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16)
Fischer-Tropsch synthesis (FTS) offers a promising route for producing sustainable jet fuels from syngas. However, optimizing catalyst design and operating conditions for the ideal C8-C16 jet fuel range is challenging. Thus, this work introduces a machine learning (ML) framework to enhance Co/Fe-sup...
| Main Authors: | , , |
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| 格式: | 文件 |
| 语言: | English |
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Elsevier
2025-03-01
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| 丛编: | Chemical Engineering Journal Advances |
| 主题: | |
| 在线阅读: | http://www.sciencedirect.com/science/article/pii/S2666821124001194 |