Dataset Open Access

Dataset and scripts for A Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry

Fiedler, Lenz; Shah, Karan; Cangi, Attila; Bussmann, Michael

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
2,174
510
views
downloads
All versions This version
Views 2,1741,067
Downloads 510236
Data volume 630.0 MB330.2 MB
Unique views 1,148655
Unique downloads 10845
More info on how stats are collected.
Publication date:
October 1, 2021
DOI:
10.14278/rodare.1294

RODARE DOI Badge

DOI 

10.14278/rodare.1294

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1294.svg)](https://doi.org/10.14278/rodare.1294)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1294.svg
   :target: https://doi.org/10.14278/rodare.1294

HTML 

<a href="https://doi.org/10.14278/rodare.1294"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1294.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1294.svg

Target URL 

https://doi.org/10.14278/rodare.1294

Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-33194
Referenced by:
https://www.hzdr.de/publications/Publ-39797, https://www.hzdr.de/publications/Publ-33571
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version v1.1.0 10.14278/rodare.1294 Oct 1, 2021
Version v1.0.0 10.14278/rodare.1197 Oct 1, 2021
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.1196. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export