Interpretable machine learning enables mechanistic insights and predictive control for clean and sustainable copper electrorefining

Journal:

Journal of Cleaner Production

Published:

2026-02-08

DOI:

10.1016/j.jclepro.2026.147643

Affiliations:

4

Authors:

7

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Institutions	Authors	Share
State Key Laboratory of Water Pollution Control and Green Resource Recycling, China	3.833333	0.55
Tongji University, China	1.333333	0.19
Nanfang Nonferrous Metals Group, China	1.000000	0.14
Shanghai Institute of Pollution Control and Ecology Security, China	0.833333	0.12

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