Mechanism-infused machine learning for scattered metal recovery: SHAP decodes multiscale physicochemical drivers in refractory matrices

Like
Liked

Date:

Green Chem., 2025, Advance Article
DOI: 10.1039/D5GC04492H, Paper
Jiayu Zhang, Ji Zhang, Ping Zhu, Zhenming Xu, Lingen Zhang
This research optimized the recovery process through machine learning and SHAP analysis, utilizing fly ash to replace toxic chlorinating agents, thereby achieving efficient and environmentally sound recovery of multiple scattered metals.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
ALT-Lab-Ad-1
ALT-Lab-Ad-2
ALT-Lab-Ad-3
ALT-Lab-Ad-4
ALT-Lab-Ad-5
ALT-Lab-Ad-6
ALT-Lab-Ad-7
ALT-Lab-Ad-8
ALT-Lab-Ad-9
ALT-Lab-Ad-10
ALT-Lab-Ad-11
ALT-Lab-Ad-12
ALT-Lab-Ad-13

Recent Articles