Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach
- DOI
- 10.1021/acs.est.6c00686
- Published
- 2026-05-28
- Container
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.6c00686,
title = {Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach},
author = {Xingyu Feng and Longshun Liu and Jinshan Li and Mingshun Ye and Ondřej Mašek and Shaban Gouda and Ibrahim Mohamed ElSayed Ali and Kenlin Chang and Xu Wang and Qing Huang},
year = {2026},
journal = {Environmental Science \& Technology},
doi = {10.1021/acs.est.6c00686},
url = {https://doi.org/10.1021/acs.est.6c00686}
}RIS
TY - JOUR TI - Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach AU - Xingyu Feng AU - Longshun Liu AU - Jinshan Li AU - Mingshun Ye AU - Ondřej Mašek AU - Shaban Gouda AU - Ibrahim Mohamed ElSayed Ali AU - Kenlin Chang AU - Xu Wang AU - Qing Huang PY - 2026 JO - Environmental Science & Technology DO - 10.1021/acs.est.6c00686 UR - https://doi.org/10.1021/acs.est.6c00686 ER -
APA
Feng, X., Liu, L., Li, J., Ye, M., Mašek, O., Gouda, S., Ali, I. M. E., Chang, K., Wang, X., & Huang, Q. (2026). Unveiling Hydrogen Fluoride Emission Mechanisms in Municipal Solid Waste Incineration Using a Machine Learning Approach. Environmental Science & Technology. https://doi.org/10.1021/acs.est.6c00686
Source records
- crossref · retrieved 2026-09-26T11:21:15.934Z