Multiparameter Machine Learning Quantifies Electronic Dominance in Pd-Catalyzed Formic Acid Dehydrogenation.
- DOI
- 10.1021/acs.nanolett.6c01270
- Published
- 2026 Jun 24
- Container
- Nano letters
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.nanolett.6c01270,
title = {Multiparameter Machine Learning Quantifies Electronic Dominance in Pd-Catalyzed Formic Acid Dehydrogenation.},
author = {Zhang Q and Dong Z and Liu X and Cai H and Liu X and Meng Z and Sun H and Wang M and Hao X},
year = {2026},
journal = {Nano letters},
doi = {10.1021/acs.nanolett.6c01270},
url = {https://doi.org/10.1021/acs.nanolett.6c01270}
}RIS
TY - JOUR TI - Multiparameter Machine Learning Quantifies Electronic Dominance in Pd-Catalyzed Formic Acid Dehydrogenation. AU - Zhang Q AU - Dong Z AU - Liu X AU - Cai H AU - Liu X AU - Meng Z AU - Sun H AU - Wang M AU - Hao X PY - 2026 JO - Nano letters DO - 10.1021/acs.nanolett.6c01270 UR - https://doi.org/10.1021/acs.nanolett.6c01270 ER -
APA
Q, Z., Z, D., X, L., H, C., X, L., Z, M., H, S., M, W., & X, H. (2026). Multiparameter Machine Learning Quantifies Electronic Dominance in Pd-Catalyzed Formic Acid Dehydrogenation.. Nano letters. https://doi.org/10.1021/acs.nanolett.6c01270
Source records
- pubmed · retrieved 2026-09-26T07:12:58.701Z