Understanding the density maximum of water with machine-learned potentials
- DOI
- 10.1126/sciadv.aec6748
- Published
- 2026-05-29
- Container
- Science Advances
- Publisher
- American Association for the Advancement of Science (AAAS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1126/sciadv.aec6748,
title = {Understanding the density maximum of water with machine-learned potentials},
author = {Yizhi Song and Renxi Liu and Chunyi Zhang and Yifan Li and Biswajit Santra and Mohan Chen and Michael L. Klein and Xifan Wu},
year = {2026},
journal = {Science Advances},
doi = {10.1126/sciadv.aec6748},
url = {https://doi.org/10.1126/sciadv.aec6748}
}RIS
TY - JOUR TI - Understanding the density maximum of water with machine-learned potentials AU - Yizhi Song AU - Renxi Liu AU - Chunyi Zhang AU - Yifan Li AU - Biswajit Santra AU - Mohan Chen AU - Michael L. Klein AU - Xifan Wu PY - 2026 JO - Science Advances DO - 10.1126/sciadv.aec6748 UR - https://doi.org/10.1126/sciadv.aec6748 ER -
APA
Song, Y., Liu, R., Zhang, C., Li, Y., Santra, B., Chen, M., Klein, M. L., & Wu, X. (2026). Understanding the density maximum of water with machine-learned potentials. Science Advances. https://doi.org/10.1126/sciadv.aec6748
Source records
- crossref · retrieved 2026-09-25T21:10:13.153Z