Dataset Open Access

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        = {{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}
}
31
1
views
downloads
All versions This version
Views 3131
Downloads 11
Data volume 13.8 MB13.8 MB
Unique views 2828
Unique downloads 11
More info on how stats are collected.
Publication date:
April 9, 2026
DOI:
10.14278/rodare.4596

RODARE DOI Badge

DOI 

10.14278/rodare.4596

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4596.svg)](https://doi.org/10.14278/rodare.4596)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4596.svg
   :target: https://doi.org/10.14278/rodare.4596

HTML 

<a href="https://doi.org/10.14278/rodare.4596"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4596.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.4596.svg

Target URL 

https://doi.org/10.14278/rodare.4596

Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-43234
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.4596 Apr 9, 2026
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.4595. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export