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Data: A particle-based approach to predict the success and selectivity of leaching processes
Winardhi, Chandra Widyananda;
Da Assuncao Godinho, Jose Ricardo;
Gutzmer, Jens;
Rachmawati, Cindytami
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{
"id": "1328",
"note": "Funded by European Union's Horizon 2020 Research and Innovation Program under Grant Agreement 815748",
"title": "Data: A particle-based approach to predict the success and selectivity of leaching processes",
"publisher": "Rodare",
"DOI": "10.14278/rodare.1328",
"abstract": "<p>Raw CT data which are used to calculate the dissolution rates and particles data which are used for the leaching simulation<br>\n <a href=\"https://doi.org/10.1016/j.hydromet.2022.105869\">https://doi.org/10.1016/j.hydromet.2022.105869</a></p>",
"type": "article",
"author": [
{
"family": "Winardhi, Chandra Widyananda"
},
{
"family": "Da Assuncao Godinho, Jose Ricardo"
},
{
"family": "Gutzmer, Jens"
},
{
"family": "Rachmawati, Cindytami"
}
],
"issued": {
"date-parts": [
[
2021,
12,
16
]
]
}
}
357
22
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downloads
| All versions | This version | |
|---|---|---|
| Views | 357 | 357 |
| Downloads | 22 | 22 |
| Data volume | 31.5 GB | 31.5 GB |
| Unique views | 231 | 231 |
| Unique downloads | 15 | 15 |
- Publication date:
- December 16, 2021
- DOI:
-
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-33699 - Referenced by:
10.1016/j.hydromet.2022.105869, https://www.hzdr.de/publications/Publ-33593 - Communities:
- License (for files):
- Creative Commons Attribution 4.0 International