A foundation machine learning potential with polarizable long-range interactions for materials modelling.

Gao R, Yam C, Mao J, Chen S, Chen G, Hu Z

DOI: 10.1038/s41467-025-65496-3
Published: 2025 Nov 25
Container: Nature communications
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-025-65496-3,
  title = {A foundation machine learning potential with polarizable long-range interactions for materials modelling.},
  author = {Gao R and Yam C and Mao J and Chen S and Chen G and Hu Z},
  year = {2025},
  journal = {Nature communications},
  doi = {10.1038/s41467-025-65496-3},
  url = {https://doi.org/10.1038/s41467-025-65496-3}
}

RIS

TY  - JOUR
TI  - A foundation machine learning potential with polarizable long-range interactions for materials modelling.
AU  - Gao R
AU  - Yam C
AU  - Mao J
AU  - Chen S
AU  - Chen G
AU  - Hu Z
PY  - 2025
JO  - Nature communications
DO  - 10.1038/s41467-025-65496-3
UR  - https://doi.org/10.1038/s41467-025-65496-3
ER  -

APA

R, G., C, Y., J, M., S, C., G, C., & Z, H. (2025). A foundation machine learning potential with polarizable long-range interactions for materials modelling.. Nature communications. https://doi.org/10.1038/s41467-025-65496-3

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pubmed · retrieved 2026-09-26T07:57:26.233Z