Figure Open Access

The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials

Ghamisi, Pedram; Rafiezadeh Shahi, Kasra; Duan, Puhong; Rasti, Behnood; Lorenz, Sandra; Booysen, René; Thiele, Sam; Contreras, Isabel Cecilia; Kirsch, Moritz; Gloaguen, Richard

BibTeX Export

@misc{ghamisi_pedram_2021_1314,
  author       = {Ghamisi, Pedram and
                  Rafiezadeh Shahi, Kasra and
                  Duan, Puhong and
                  Rasti, Behnood and
                  Lorenz, Sandra and
                  Booysen, René and
                  Thiele, Sam and
                  Contreras, Isabel Cecilia and
                  Kirsch, Moritz and
                  Gloaguen, Richard},
  title        = {{The Potential of Machine Learning for a More 
                   Responsible Sourcing of Critical Raw Materials}},
  month        = sep,
  year         = 2021,
  doi          = {10.14278/rodare.1314},
  url          = {https://doi.org/10.14278/rodare.1314}
}
221
53
views
downloads
All versions This version
Views 221221
Downloads 5353
Data volume 220.6 MB220.6 MB
Unique views 146146
Unique downloads 3333
More info on how stats are collected.
Publication date:
September 1, 2021
DOI:
10.14278/rodare.1314

RODARE DOI Badge

DOI 

10.14278/rodare.1314

Markdown 

[![DOI](https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1314.svg)](https://doi.org/10.14278/rodare.1314)

reStructedText 

.. image:: https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1314.svg
   :target: https://doi.org/10.14278/rodare.1314

HTML 

<a href="https://doi.org/10.14278/rodare.1314"><img src="https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1314.svg" alt="DOI"></a>

Image URL 

https://rodare.hzdr.de/badge/DOI/10.14278/rodare.1314.svg

Target URL 

https://doi.org/10.14278/rodare.1314

Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-33633
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.1314 Sep 1, 2021
Cite all versions? You can cite all versions by using the DOI 10.14278/rodare.1313. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export