Exploring the chemical space of transition-metal cluster thermodynamics via automated first-principles calculations and machine learning.

Li NZ, Wang ZY, Li ZY, Shi Q, Liu QY, He SG

DOI: 10.1038/s41467-026-77099-7
Published: 2026 Aug 22
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-026-77099-7,
  title = {Exploring the chemical space of transition-metal cluster thermodynamics via automated first-principles calculations and machine learning.},
  author = {Li NZ and Wang ZY and Li ZY and Shi Q and Liu QY and He SG},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-77099-7},
  url = {https://doi.org/10.1038/s41467-026-77099-7}
}

RIS

TY  - JOUR
TI  - Exploring the chemical space of transition-metal cluster thermodynamics via automated first-principles calculations and machine learning.
AU  - Li NZ
AU  - Wang ZY
AU  - Li ZY
AU  - Shi Q
AU  - Liu QY
AU  - He SG
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-77099-7
UR  - https://doi.org/10.1038/s41467-026-77099-7
ER  -

APA

NZ, L., ZY, W., ZY, L., Q, S., QY, L., & SG, H. (2026). Exploring the chemical space of transition-metal cluster thermodynamics via automated first-principles calculations and machine learning.. Nature communications. https://doi.org/10.1038/s41467-026-77099-7

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pubmed · retrieved 2026-09-25T20:47:53.466Z