activity
20182025
most citedCharacterization of the 3D microstructure of Ibuprofen tablets by means of synchrotron tomography

11 citations · 16 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Fitting Generalized Power Diagrams to 3D Image Data: A Prerequisite for Virtual Materials Testing

Andreas Alpers, Orkun Furat, Christian Jung +4

This paper reviews algorithmic and modeling approaches for fitting generalized power diagrams to three-dimensional image data, a key step in virtual materials testing (VMT). Beyond…

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…

physics.chem-ph2023

Unveiling the impact of crosslinking redox-active polymers on their electrochemical behavior by 3D imaging and statistical microstructure analysis

Marten Ademmer, Po-Hua Su, Lukas Dodell +8

Polymer-based batteries offer potentially higher power densities and a smaller ecological footprint compared to state-of-the-art lithium-ion batteries comprising inorganic active m…

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.dis-nn2021

Asymptotic properties of one-layer artificial neural networks with sparse connectivity

Christian Hirsch, Matthias Neumann, Volker Schmidt

A law of large numbers for the empirical distribution of parameters of a one-layer artificial neural networks with sparse connectivity is derived for a simultaneously increasing nu…

cond-mat.mtrl-sci2018★ 11 cited

Characterization of the 3D microstructure of Ibuprofen tablets by means of synchrotron tomography

Matthias Neumann, Ramon Cabiscol, Markus Osenberg +4

We present a methodology to characterize the 3D microstructure of Ibuprofen tablets, which strongly influences the strength and solubility kinetics of the final formulation, by mea…

math.ST2018

Estimation of geodesic tortuosity and constrictivity in stationary random closed sets

Matthias Neumann, Christian Hirsch, Jakub Staněk +2

We investigate the problem of estimating geodesic tortuosity and constrictivity as two structural characteristics of stationary random closed sets. They are of central importance f…