The use of machine learning interatomic potentials for the verification of experimental molecular crystal structures.

Hušák M, Fňukal F, Čejka J

DOI: 10.1107/s2052252526006949
Published: 2026 Sep 1
Container: IUCrJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1107/s2052252526006949,
  title = {The use of machine learning interatomic potentials for the verification of experimental molecular crystal structures.},
  author = {Hušák M and Fňukal F and Čejka J},
  year = {2026},
  journal = {IUCrJ},
  doi = {10.1107/s2052252526006949},
  url = {https://doi.org/10.1107/s2052252526006949}
}

RIS

TY  - JOUR
TI  - The use of machine learning interatomic potentials for the verification of experimental molecular crystal structures.
AU  - Hušák M
AU  - Fňukal F
AU  - Čejka J
PY  - 2026
JO  - IUCrJ
DO  - 10.1107/s2052252526006949
UR  - https://doi.org/10.1107/s2052252526006949
ER  -

APA

M, H., F, F., & J, Č. (2026). The use of machine learning interatomic potentials for the verification of experimental molecular crystal structures.. IUCrJ. https://doi.org/10.1107/s2052252526006949

Source records

pubmed · retrieved 2026-09-25T10:38:49.907Z