Dataset Open Access

Training scripts and input data sets: Transferable Interatomic Potential for Aluminum from Ambient Conditions to Warm Dense Matter

Kumar, Sandeep; Tahmasbi, Hossein; Ramakrishna, Kushal; Lokamani, Mani; Nikolov, Svetoslav; Tranchida, Julien; Wood, Mitchell A.; Cangi, Attila

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
806
111
views
downloads
All versions This version
Views 806806
Downloads 111111
Data volume 6.2 GB6.2 GB
Unique views 732732
Unique downloads 101101
More info on how stats are collected.
Publication date:
July 18, 2023
DOI:
10.14278/rodare.2369

RODARE DOI Badge

DOI 

10.14278/rodare.2369

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2369.svg)](https://doi.org/10.14278/rodare.2369)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2369.svg
   :target: https://doi.org/10.14278/rodare.2369

HTML 

<a href="https://doi.org/10.14278/rodare.2369"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2369.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2369.svg

Target URL 

https://doi.org/10.14278/rodare.2369

Keyword(s):
Machine Learning Potential Warm Dense Matter
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-37282
Referenced by:
https://www.hzdr.de/publications/Publ-36890
Communities:
License (for files):
Other (Open)

Versions

Version 1 10.14278/rodare.2369 Jul 18, 2023
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.2368. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export