Using resistor network models to predict the transport properties of solid-state battery composites Article Swipe
Lukas Ketter
,
Niklas Greb
,
Tim Bernges
,
Wolfgang G. Zeier
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41467-025-56514-5
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41467-025-56514-5
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 6 PS 5 Cl 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.
Related Topics
Concepts
Battery (electricity)
Materials science
Resistor
Composite number
Fast ion conductor
Electrical conductor
Electrolyte
Ionic conductivity
Electrode
Composite material
Work (physics)
Thermal conduction
Solid-state
State of charge
Computer science
Mechanical engineering
Power (physics)
Engineering physics
Electrical engineering
Voltage
Thermodynamics
Chemistry
Physics
Physical chemistry
Engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41467-025-56514-5
- OA Status
- gold
- Cited By
- 19
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407232398
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407232398Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41467-025-56514-5Digital Object Identifier
- Title
-
Using resistor network models to predict the transport properties of solid-state battery compositesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-06Full publication date if available
- Authors
-
Lukas Ketter, Niklas Greb, Tim Bernges, Wolfgang G. ZeierList of authors in order
- Landing page
-
https://doi.org/10.1038/s41467-025-56514-5Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1038/s41467-025-56514-5Direct OA link when available
- Concepts
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Battery (electricity), Materials science, Resistor, Composite number, Fast ion conductor, Electrical conductor, Electrolyte, Ionic conductivity, Electrode, Composite material, Work (physics), Thermal conduction, Solid-state, State of charge, Computer science, Mechanical engineering, Power (physics), Engineering physics, Electrical engineering, Voltage, Thermodynamics, Chemistry, Physics, Physical chemistry, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 19Per-year citation counts (last 5 years)
- References (count)
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57Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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