Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale.
- DOI
- 10.1021/acs.jpclett.6c00503
- Published
- 2026 Apr 23
- Container
- The journal of physical chemistry letters
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpclett.6c00503,
title = {Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale.},
author = {Yang J and Hong Q and Ma J and Xie C and Sun Q and Li J},
year = {2026},
journal = {The journal of physical chemistry letters},
doi = {10.1021/acs.jpclett.6c00503},
url = {https://doi.org/10.1021/acs.jpclett.6c00503}
}RIS
TY - JOUR TI - Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale. AU - Yang J AU - Hong Q AU - Ma J AU - Xie C AU - Sun Q AU - Li J PY - 2026 JO - The journal of physical chemistry letters DO - 10.1021/acs.jpclett.6c00503 UR - https://doi.org/10.1021/acs.jpclett.6c00503 ER -
APA
J, Y., Q, H., J, M., C, X., Q, S., & J, L. (2026). Machine Learning-Assisted High-Temperature Nonequilibrium Kinetics of Air Components: From Microscale to Macroscale.. The journal of physical chemistry letters. https://doi.org/10.1021/acs.jpclett.6c00503
Source records
- pubmed · retrieved 2026-09-25T10:44:00.663Z