Machine learning–based optimal design of the in-situ leaching process parameter (ISLPP) for the acid in-situ leaching of uranium
Authors:
- Bing WangBWBing Wang
- Yue LuoYLYue Luo
- Jia-Zhong QianJQJia-Zhong Qian
- Jin-Hui LiuJLJin-Hui Liu
- Xun LiXLXun Li
- Yan-Hong ZhangYZYan-Hong Zhang
- Qian-Qian ChenQCQian-Qian Chen
- Li-Yao LiLLLi-Yao Li
- Da-Ye LiangDLDa-Ye Liang
- Jian HuangJHJian Huang
- 26 September 2023
- journal article
- research article
- Published by Elsevier in Journal of Hydrology
- Vol. 626
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Jiangxi Province
- National Natural Science Foundation of China (U2267218)
- National Natural Science Foundation of China (U1967209)
- National Natural Science Foundation of China (42107093)
- National Natural Science Foundation of China (42062017)
- East China Institute of Technology (U2267218)
- East China Institute of Technology (U1967209)
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