Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production.
- DOI
- 10.1016/j.isci.2026.117213
- Published
- 2026 Sep 18
- Container
- iScience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.117213,
title = {Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production.},
author = {Nguyen D and Guerrero-Pérez MO and Rodríguez-Castellón E and Nguyen MC and Hadiyanto H and Le VH and Dong VH and Nguyen XP and Hoang AT},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.117213},
url = {https://doi.org/10.1016/j.isci.2026.117213}
}RIS
TY - JOUR TI - Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production. AU - Nguyen D AU - Guerrero-Pérez MO AU - Rodríguez-Castellón E AU - Nguyen MC AU - Hadiyanto H AU - Le VH AU - Dong VH AU - Nguyen XP AU - Hoang AT PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.117213 UR - https://doi.org/10.1016/j.isci.2026.117213 ER -
APA
D, N., MO, G., E, R., MC, N., H, H., VH, L., VH, D., XP, N., & AT, H. (2026). Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production.. iScience. https://doi.org/10.1016/j.isci.2026.117213
Source records
- pubmed · retrieved 2026-09-25T21:45:10.831Z