2 papers
cond-mat.dis-nn2025
STEM Diffraction Pattern Analysis with Deep Learning Networks
Sebastian Wissel, Jonas Scheunert, Aaron Dextre +4
Accurate grain orientation mapping is essential for understanding and optimizing the performance of polycrystalline materials, particularly in energy-related applications. Lithium…
cond-mat.mtrl-sci2025
Determining the grain orientations of battery materials from electron diffraction patterns using convolutional neural networks
Jonas Scheunert, Shamail Ahmed, Thomas Demuth +4
Polycrystalline materials have numerous applications due to their unique properties, which are often determined by the grain boundaries. Hence, quantitative characterization of gra…