activity
20232025
most citedGenerating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Predicting the 3D microstructure of SOFC anodes from 2D SEM images using stochastic microstructure modeling and CNNs

Léon F. Schröder, Sabrina Weber, Lukas Fuchs +2

The 3D microstructure of solid oxide fuel cell anodes significantly influences their electrochemical performance, but conventional methods for acquiring high-resolution microstruct…

physics.app-ph2025

Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets

R. Brands, L. Fuchs, J. M. Seyffer +5

The pharmaceutical industry is moving from off-line quality testing to real-time release testing (RTRT) to improve drug quality while reducing costs. The implementation of RTRT req…

cond-mat.mtrl-sci2025

Stereological 3D modeling of nano-scale catalyst particles using TEM projections

Lukas Fuchs, Kerstin Wein, Jens Friedland +3

Catalysis, particularly heterogeneous catalysis, is crucial in the chemical industry and energy storage. Approximately 80% of all chemical products produced by heterogeneous cataly…

physics.app-ph2024★ 2 cited

Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs

Lukas Fuchs, Orkun Furat, Donal P. Finegan +6

Understanding structure-property relationships of Li-ion battery cathodes is crucial for optimizing rate-performance and cycle-life resilience. However, correlating the morphology…

cs.CV2023★ 1 cited

Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data

Lukas Fuchs, Tom Kirstein, Christoph Mahr +5

The structural characterization of hetero-aggregates in 3D is of great interest, e.g., for deriving process-structure or structure-property relationships. However, since 3D imaging…