Dataset Open Access

Inverting the Kohn-Sham equations with physics-informed machine learning

Martinetto, Vincent; Shah, Karan; Cangi, Attila; Pribram-Jones, Aurora

BibTeX Export

@misc{martinetto_vincent_2024_2720,
  author       = {Martinetto, Vincent and
                  Shah, Karan and
                  Cangi, Attila and
                  Pribram-Jones, Aurora},
  title        = {{Inverting the Kohn-Sham equations with physics- 
                   informed machine learning}},
  month        = feb,
  year         = 2024,
  doi          = {10.14278/rodare.2720},
  url          = {https://doi.org/10.14278/rodare.2720}
}
821
152
views
downloads
All versions This version
Views 821821
Downloads 152152
Data volume 23.6 GB23.6 GB
Unique views 746746
Unique downloads 148148
More info on how stats are collected.
Publication date:
February 1, 2024
DOI:
10.14278/rodare.2720

RODARE DOI Badge

DOI 

10.14278/rodare.2720

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2720.svg)](https://doi.org/10.14278/rodare.2720)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2720.svg
   :target: https://doi.org/10.14278/rodare.2720

HTML 

<a href="https://doi.org/10.14278/rodare.2720"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2720.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.2720.svg

Target URL 

https://doi.org/10.14278/rodare.2720

Keyword(s):
density functional theory machine learning
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-38725
Supplement to:
10.48550/arXiv.2312.15301
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.2720 Feb 1, 2024
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.2719. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export