Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.

Hu Z, Wang Z, Peng Y, Gao Z, Jin C, Zhuang Z, Li JF

DOI: 10.1038/s42004-026-01967-y
Published: 2026 Mar 24
Container: Communications chemistry
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s42004-026-01967-y,
  title = {Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.},
  author = {Hu Z and Wang Z and Peng Y and Gao Z and Jin C and Zhuang Z and Li JF},
  year = {2026},
  journal = {Communications chemistry},
  doi = {10.1038/s42004-026-01967-y},
  url = {https://doi.org/10.1038/s42004-026-01967-y}
}

RIS

TY  - JOUR
TI  - Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.
AU  - Hu Z
AU  - Wang Z
AU  - Peng Y
AU  - Gao Z
AU  - Jin C
AU  - Zhuang Z
AU  - Li JF
PY  - 2026
JO  - Communications chemistry
DO  - 10.1038/s42004-026-01967-y
UR  - https://doi.org/10.1038/s42004-026-01967-y
ER  -

APA

Z, H., Z, W., Y, P., Z, G., C, J., Z, Z., & JF, L. (2026). Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.. Communications chemistry. https://doi.org/10.1038/s42004-026-01967-y

Source records

pubmed · retrieved 2026-09-25T11:34:44.587Z