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001     1040442
005     20250414120458.0
024 7 _ |a 10.1038/s41467-025-56514-5
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100 1 _ |a Ketter, Lukas
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245 _ _ |a Using resistor network models to predict the transport properties of solid-state battery composites
260 _ _ |a [London]
|c 2025
|b Springer Nature
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500 _ _ |a financial support within the cluster of competence FESTBATT funded by Bundesministerium für Bildung und Forschung (BMBF; projects 03XP0597A)
520 _ _ |a Solid-state batteries use composites of solid ion conductors and active materials as electrode materials. The effective transport of charge carriers and heat thereby strongly determines the overall solid-state battery performance and safety. However, the phase space for optimization of the composition of solid electrolyte, active material, additive is too large to cover experimentally. In this work, a resistor network model is presented that successfully describes the transport phenomena in solid-state battery composites, when benchmarked against experimental data of the electronic, ionic, and thermal conductivity of $LiNi_{0.83}Co_{0.11}Mn_{0.06}O_2-Li_6PS_5Cl$ positive electrode composites. To highlight the broadness of the approach, literature data are examined using the proposed model. As the model is easily accessible and expandable, without the need for high computing power, it offers valuable guidance for experimentalists helping to streamline the tedious process of performing a multitude of experiments to understand and optimize the effective transport of composite electrodes.
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700 1 _ |a Greb, Niklas
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700 1 _ |a Bernges, Tim
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700 1 _ |a Zeier, Wolfgang
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773 _ _ |a 10.1038/s41467-025-56514-5
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856 4 _ |y OpenAccess
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