An applied machine learning framework for waste lithium-ion battery leaching with integrated preliminary environmental and economic assessment

Data-driven LIB recycling: a new ML framework predicts metal leaching yields and evaluates process sustainability through integrated economic and environmental impact assessments.

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Publication Details

Journal
Green Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1039/d5gc04752h
Citations
1
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.71
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article

An applied machine learning framework for waste lithium-ion battery leaching with integrated preliminary environmental and economic assessment

João A. P. Coutinho, Nicolas Schaeffer, Filipe H. B. Sosa, André F.M. Nogueira et al.
1 citations
Green Chemistry
Extraction and Separation Processes
0.71
article

An applied machine learning framework for waste lithium-ion battery leaching with integrated preliminary environmental and economic assessment

João A. P. Coutinho, Nicolas Schaeffer, Filipe H. B. Sosa, André F.M. Nogueira, Ana Cláudia Dias
article en
1 citations

Abstract

Data-driven LIB recycling: a new ML framework predicts metal leaching yields and evaluates process sustainability through integrated economic and environmental impact assessments.

Green ChemistryVol. 28(1)
University of Aveiro (PT)
Openalex Percentile: Top 25%
Extraction and Separation Processes
0.71
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