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@ARTICLE{Ketter:1040442,
author = {Ketter, Lukas and Greb, Niklas and Bernges, Tim and Zeier,
Wolfgang},
title = {{U}sing resistor network models to predict the transport
properties of solid-state battery composites},
journal = {Nature Communications},
volume = {16},
number = {1},
issn = {2041-1723},
address = {[London]},
publisher = {Springer Nature},
reportid = {FZJ-2025-01900},
pages = {1411},
year = {2025},
note = {financial support within the cluster of competence FESTBATT
funded by Bundesministerium für Bildung und Forschung
(BMBF; projects 03XP0597A)},
abstract = {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.},
cin = {IMD-4},
ddc = {500},
cid = {I:(DE-Juel1)IMD-4-20141217},
pnm = {1221 - Fundamentals and Materials (POF4-122)},
pid = {G:(DE-HGF)POF4-1221},
typ = {PUB:(DE-HGF)16},
pubmed = {39915489},
UT = {WOS:001416001300001},
doi = {10.1038/s41467-025-56514-5},
url = {https://juser.fz-juelich.de/record/1040442},
}