Dynamical properties of <i>ab initio</i> water from machine-learning potentials

P. Montero de Hijes, L. Neubeck, G. Kresse, C. Dellago

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DOI: 10.1063/5.0348453
Published: 2026-08-17
Container: The Journal of Chemical Physics
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0348453,
  title = {Dynamical properties of
                    <i>ab initio</i>
                    water from machine-learning potentials},
  author = {P. Montero de Hijes and L. Neubeck and G. Kresse and C. Dellago},
  year = {2026},
  journal = {The Journal of Chemical Physics},
  doi = {10.1063/5.0348453},
  url = {https://doi.org/10.1063/5.0348453}
}

RIS

TY  - JOUR
TI  - Dynamical properties of
                    <i>ab initio</i>
                    water from machine-learning potentials
AU  - P. Montero de Hijes
AU  - L. Neubeck
AU  - G. Kresse
AU  - C. Dellago
PY  - 2026
JO  - The Journal of Chemical Physics
DO  - 10.1063/5.0348453
UR  - https://doi.org/10.1063/5.0348453
ER  -

APA

Hijes, P. M. D., Neubeck, L., Kresse, G., & Dellago, C. (2026). Dynamical properties of <i>ab initio</i> water from machine-learning potentials. The Journal of Chemical Physics. https://doi.org/10.1063/5.0348453

Source records

crossref · retrieved 2026-09-26T11:38:26.060Z