Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning
- DOI
- 10.1016/j.ast.2022.107675
- Published
- 2022
- Container
- Aerospace Science and Technology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ast.2022.107675,
title = {Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning},
author = {Yunzhe Huang and Chongwen Jiang and Kaidi Wan and Zhenxun Gao and Luc Vervisch and Pascale Domingo and Yong He and Zhihua Wang and Chun-Hian Lee and Qiaoyan Cai and Jieping Liu},
year = {2022},
journal = {Aerospace Science and Technology},
doi = {10.1016/j.ast.2022.107675},
url = {https://doi.org/10.1016/j.ast.2022.107675}
}RIS
TY - JOUR TI - Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning AU - Yunzhe Huang AU - Chongwen Jiang AU - Kaidi Wan AU - Zhenxun Gao AU - Luc Vervisch AU - Pascale Domingo AU - Yong He AU - Zhihua Wang AU - Chun-Hian Lee AU - Qiaoyan Cai AU - Jieping Liu PY - 2022 JO - Aerospace Science and Technology DO - 10.1016/j.ast.2022.107675 UR - https://doi.org/10.1016/j.ast.2022.107675 ER -
APA
Huang, Y., Jiang, C., Wan, K., Gao, Z., Vervisch, L., Domingo, P., He, Y., Wang, Z., Lee, C., Cai, Q., & Liu, J. (2022). Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning. Aerospace Science and Technology. https://doi.org/10.1016/j.ast.2022.107675
Source records
- hal · retrieved 2026-09-27T13:10:00.202Z