Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning

Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning

Abstract Unsorted retired batteries with varied cathode materials hinder the adoption of direct recycling due to their cathode-specific nature. The surge in retired batteries necessitates precise sorting for effective direct recycling, but challenges arise from varying operational histories, diverse...

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Bibliographic Details
Main Authors: Shengyu Tao, Haizhou Liu, Chongbo Sun, Haocheng Ji, Guanjun Ji, Zhiyuan Han, Runhua Gao, Jun Ma, Ruifei Ma, Yuou Chen, Shiyi Fu, Yu Wang, Yaojie Sun, Yu Rong, Xuan Zhang, Guangmin Zhou, Hongbin Sun
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-43883-y

Internet

https://doi.org/10.1038/s41467-023-43883-y

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