Dataset Open Access

Data publication: Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems

Tahmasbi, Hossein; Knüpfer, Andreas; Kühne, Thomas Dae-Song; Mir Hosseini, Seyed Hossein


BibTeX Export

@misc{tahmasbi_hossein_2026_4596,
  author       = {Tahmasbi, Hossein and
                  Knüpfer, Andreas and
                  Kühne, Thomas Dae-Song and
                  Mir Hosseini, Seyed Hossein},
  title        = {{Data publication: Benchmarking Universal Machine 
                   Learning Interatomic Potentials on Elemental
                   Systems}},
  month        = apr,
  year         = 2026,
  doi          = {10.14278/rodare.4596},
  url          = {https://doi.org/10.14278/rodare.4596}
}
282
22
views
downloads
All versions This version
Views 282282
Downloads 2222
Data volume 303.5 MB303.5 MB
Unique views 265265
Unique downloads 1818

Share

Cite as