Work

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

Year: 2025

Type: article

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

Source: Green Chemistry

DOI: 10.1039/d5gc04752h

Authors: André Nogueira, Filipe H. B. Sosa, Ana C. Dias, João A. P. Coutinho, Nicolas Schaeffer

Institutions: University of Aveiro, Centro de Estudos do Ambiente e do Mar

Language: English

Topic: Extraction and Separation Processes

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: hybrid

Funders: Fundação para a Ciência e a Tecnologia, HORIZON EUROPE European Institute of Innovation and Technology, HORIZON EUROPE European Research Council

Awards: G3004666440, Centro de Estudos do Ambiente e do Mar, Hydrophobic Eutectic Solvents for Tailored Metal Separation and Recycling, CICECO-Instituto de Materiais de Aveiro, G4971484151, G5029383683, CICECO – Instituto de Materiais de Aveiro, “Waste-to-wealth” approach towards the full valorisation of spent lithium battery

OpenAlex ID: W4416415088

FWCI: 3.243

Cites: 51

Cited by: 11

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