Dataset Open Access

Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems

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

Reference data and scripts generated for the "Benchmarking Universal Machine Learning Interatomic
Potentials on Elemental Systems" manuscript.

Files (13.8 MB)
Name Size
Unary_Benchmark.tar.gz
md5:1ea5cc0b010ef998c4c90800cb995e60 		13.8 MB Download
129
6
views
downloads
All versions This version
Views 129129
Downloads 66
Data volume 82.8 MB82.8 MB
Unique views 124124
Unique downloads 66
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