Assessing melting points from machine learning interatomic potentials using PBE and PBEsol exchange–correlation functionals

Pandu Wisesa, Christopher M. Andolina, Wissam A. Saidi

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DOI: 10.1063/5.0337259
Published: 2026-07-27
Container: The Journal of Chemical Physics
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0337259,
  title = {Assessing melting points from machine learning interatomic potentials using PBE and PBEsol exchange–correlation functionals},
  author = {Pandu Wisesa and Christopher M. Andolina and Wissam A. Saidi},
  year = {2026},
  journal = {The Journal of Chemical Physics},
  doi = {10.1063/5.0337259},
  url = {https://doi.org/10.1063/5.0337259}
}

RIS

TY  - JOUR
TI  - Assessing melting points from machine learning interatomic potentials using PBE and PBEsol exchange–correlation functionals
AU  - Pandu Wisesa
AU  - Christopher M. Andolina
AU  - Wissam A. Saidi
PY  - 2026
JO  - The Journal of Chemical Physics
DO  - 10.1063/5.0337259
UR  - https://doi.org/10.1063/5.0337259
ER  -

APA

Wisesa, P., Andolina, C. M., & Saidi, W. A. (2026). Assessing melting points from machine learning interatomic potentials using PBE and PBEsol exchange–correlation functionals. The Journal of Chemical Physics. https://doi.org/10.1063/5.0337259

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crossref · retrieved 2026-09-25T05:38:57.048Z