Categories: AI/ML News

Integrated modeling approach decodes solid-state battery microstructures for better performance

Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a novel, integrated modeling approach to identify and improve key interface and microstructural features in complex materials typically used for advanced batteries. The work helped unravel the relationship between material microstructure and key properties and better predict how those properties affect battery operation, paving the way for more efficient all-solid-state battery design. The research appears in the journal Energy Storage Materials.
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