Dataset Open Access

Data publication: Machine Learning-Driven Structure Prediction for Iron Hydrides

Tahmasbi, Hossein; Ramakrishna, Kushal; Lokamani, Mani; Cangi, Attila

Here, we provide the training datasets and the resulting neural network potential for exploring the potential energy surfaces of the FeH system using the minima hopping method. Additionally, data for the minima structures identified in this work are included.

Files (164.0 MB)
Name Size
FeH_data_RODARE.tar.xz
md5:4bc7e02b8fd92e6847678d99c13a654f 		164.0 MB Download
201
25
views
downloads
All versions This version
Views 201201
Downloads 2525
Data volume 4.1 GB4.1 GB
Unique views 146146
Unique downloads 1919
More info on how stats are collected.
Publication date:
March 25, 2024
DOI:
10.14278/rodare.2778

RODARE DOI Badge

DOI 

10.14278/rodare.2778

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2778.svg)](https://doi.org/10.14278/rodare.2778)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2778.svg
   :target: https://doi.org/10.14278/rodare.2778

HTML 

<a href="https://doi.org/10.14278/rodare.2778"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2778.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2778.svg

Target URL 

https://doi.org/10.14278/rodare.2778

Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-38894
Referenced by:
https://www.hzdr.de/publications/Publ-37800
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.2778 Mar 25, 2024
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.2777. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export