3 citations · 5 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2022★ 2 cited
Quantitative comparison of different approaches for reconstructing the carbon-binder domain from tomographic image data of cathodes in lithium-ion batteries and its influence on electrochemical properties
Benedikt Prifling, Matthias Neumann, Simon Hein +10
It is well known that the spatial distribution of the carbon-binder domain (CBD) offers a large potential to further optimize lithium-ion batteries. However, it is challenging to r…
cond-mat.mtrl-sci2022★ 3 cited
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers
Markus Osenberg, André Hilger, Matthias Neumann +6
FIB/SEM tomography represents an indispensable tool for the characterization of three-dimensional nanostructures in battery research and many other fields. However, contrast and 3D…
cond-mat.mtrl-sci2022
Understanding the degradation of a model Si-anode in Li-ion battery at the atomic-scale
Se-Ho Kim, Kang Dong, Huan Zhao +7
Si-anodes have long been candidates thanks to an expected ten-fold increase in capacity compared to graphite. However, details of the mechanisms governing their degradation remain…