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Process–microstructure–property optimization of bimodal particle size distributions in battery electrode calendering
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DOI：10.1016/j.jpowsour.2026.241149.png)
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Abstract
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• Bimodal particle sizes are optimized for calendered battery electrodes. • Five particle-size variables govern four electrode microstructure descriptors. • Surrogate models achieve coefficients of determination above 0.99. • The optimized distribution balances connectivity, surface area, and tortuosity. • Full particle simulations validate all predictions within 0.44% error.
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