2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling
Somayeh Hosseinhashemi, Philipp Rieder, Orkun Furat +5
The 3D microstructure of porous media, such as electrodes in lithium-ion batteries or fiber-based materials, significantly impacts the resulting macroscopic properties, including e…
Stochastic 3D microstructure modeling of twinned polycrystals for investigating the mechanical behavior of -TiAl intermetallics
Philipp Rieder, Matthias Neumann, Lucas Monteiro Fernandes +4
A stochastic 3D microstructure model for polycrystals is introduced which incorporates two types of twin grains, namely neighboring and inclusion twins. They mimic the presence of…
Effect of crystallographic twins on the elastoplastic response of polycrystals
Lucas Monteiro Fernandes, Philipp Rieder, Matthias Neumann +4
We investigate the influence of crystallographic twins on the elastoplastic response of -TiAl intermetallics via full-field FFT-based computations. We first introduce a hierarch…
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…