Machine learning-driven predictive design of catalytic oxygen carriers for chemical looping processes
Abstract Chemical looping is an innovative technology for conversion of fossil fuels to clean energy with integrated carbon dioxide capture. The success of this technology depends on the performance of oxygen carriers which circulate between the reactors. However, traditional trial-and-error methods...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Energy |
| Online Access: | https://doi.org/10.1007/s43937-025-00081-9 |
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