activity
20212024
most citedClassification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2023

Influence of Electrode Structuring Techniques on the Performance of All-Solid-State Batteries

Moritz Clausnitzer, Timo Danner, Benedikt Prifling +3

All-solid-state batteries (ASSBs) offer a promising route to safer batteries with superior energy density compared to conventional Li-ion batteries (LIBs). However, the design of t…

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(…

cond-mat.mtrl-sci20222 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-sci20223 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…