2 citations · 2 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2024★ 2 cited
Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes
Phillip Gräfensteiner, Markus Osenberg, André Hilger +5
A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. The binder-conduc…
cond-mat.mtrl-sci2023
Stochastic 3D modeling of nanostructured NVP/C active material particles for sodium-ion batteries
Matthias Neumann, Tom Philipp, Marcel Häringer +3
A data-driven modeling approach is presented to quantify the influence of morphology on effective properties in nanostructured sodium vanadium phosphate $\mathrm{Na}_3\mathrm{V}_2(…