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This study combines machine learning algorithms, domain knowledge, and experimental design to accurately and rapidly discover high-entropy ceramics with excellent energy storage performance. Ultimately, This strategy successfully identified an optimal composition, (Ba0.24Sr0.24Bi0.26Na0.26)(Ti0.85Zr0.15)O3, achieving a high Wrec of 10.8 J cm-3 and η of 86%.
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Journal of Advanced Ceramics, Tsinghua University Press
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