High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning

High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning

Abstract Nickel‐rich layered oxides (LiNixCoyMnzO2, NCM) are among the most promising cathode materials for high‐energy lithium‐ion batteries, offering high specific capacity and output voltage at a relatively low cost. However, industrial‐scale co‐precipitation presents significant challenges, part...

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Bibliographic Details
Main Authors: Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:InfoMat
Subjects:
domain adaptation
machine learning
mass production
nickel‐rich layered oxides cathode
process monitoring
schedule optimization
Online Access:https://doi.org/10.1002/inf2.70031
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https://doi.org/10.1002/inf2.70031

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