GEMDAT: a Python toolkit for site-resolved diffusion analysis in solid-state molecular dynamics.

Lavrinenko AK, Famprikis T, Landgraf V, Heringa JR, Smeets S, Azizi V, Ciarella S, Wagemaker M, Vasileiadis A

DOI: 10.1038/s41524-026-02133-7
Published: 2026
Container: npj computational materials
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41524-026-02133-7,
  title = {GEMDAT: a Python toolkit for site-resolved diffusion analysis in solid-state molecular dynamics.},
  author = {Lavrinenko AK and Famprikis T and Landgraf V and Heringa JR and Smeets S and Azizi V and Ciarella S and Wagemaker M and Vasileiadis A},
  year = {2026},
  journal = {npj computational materials},
  doi = {10.1038/s41524-026-02133-7},
  url = {https://doi.org/10.1038/s41524-026-02133-7}
}

RIS

TY  - JOUR
TI  - GEMDAT: a Python toolkit for site-resolved diffusion analysis in solid-state molecular dynamics.
AU  - Lavrinenko AK
AU  - Famprikis T
AU  - Landgraf V
AU  - Heringa JR
AU  - Smeets S
AU  - Azizi V
AU  - Ciarella S
AU  - Wagemaker M
AU  - Vasileiadis A
PY  - 2026
JO  - npj computational materials
DO  - 10.1038/s41524-026-02133-7
UR  - https://doi.org/10.1038/s41524-026-02133-7
ER  -

APA

AK, L., T, F., V, L., JR, H., S, S., V, A., S, C., M, W., & A, V. (2026). GEMDAT: a Python toolkit for site-resolved diffusion analysis in solid-state molecular dynamics.. npj computational materials. https://doi.org/10.1038/s41524-026-02133-7

Source records

pubmed · retrieved 2026-09-25T21:25:50.394Z