Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework
This research introduces a hybrid modeling framework that combines intricate combustion dynamics with machine learning (ML) to facilitate the decarbonization and retrofitting of traditional diesel engines utilizing Hydrogen-Dodecane dual-fuel mixtures. A Cantera-based kinetic model was used to predi...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2026-04-01
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| Серія: | Green Technologies and Sustainability |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2949736126000084 |
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