Uncertainty quantification for misspecified machine learned interatomic potentials

Danny Perez, Aparna P. A. Subramanyam, Ivan Maliyov, Thomas D. Swinburne

Open source

DOI: 10.1038/s41524-025-01758-4
Published: 2025-08-16
Container: npj Computational Materials
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41524-025-01758-4,
  title = {Uncertainty quantification for misspecified machine learned interatomic potentials},
  author = {Danny Perez and Aparna P. A. Subramanyam and Ivan Maliyov and Thomas D. Swinburne},
  year = {2025},
  journal = {npj Computational Materials},
  doi = {10.1038/s41524-025-01758-4},
  url = {https://doi.org/10.1038/s41524-025-01758-4}
}

RIS

TY  - JOUR
TI  - Uncertainty quantification for misspecified machine learned interatomic potentials
AU  - Danny Perez
AU  - Aparna P. A. Subramanyam
AU  - Ivan Maliyov
AU  - Thomas D. Swinburne
PY  - 2025
JO  - npj Computational Materials
DO  - 10.1038/s41524-025-01758-4
UR  - https://doi.org/10.1038/s41524-025-01758-4
ER  -

APA

Perez, D., Subramanyam, A. P. A., Maliyov, I., & Swinburne, T. D. (2025). Uncertainty quantification for misspecified machine learned interatomic potentials. npj Computational Materials. https://doi.org/10.1038/s41524-025-01758-4

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crossref · retrieved 2026-09-26T00:16:53.187Z