699 citations · 9.3k across the 127 of their papers we have counts for
128 papers
EBSDmagus: Managing Multi-Stage Dynamical Electron Backscatter Diffraction Simulations
Ulrich Kerzel, Lukas Berners, Sanddra Korte-Kerzel
Dynamical electron backscatter diffraction (EBSD) simulations increasingly support systematic studies of how material and experimental parameters affect diffraction patterns. Inves…
Composition- and Ordering-Dependent Evolution of Simulated Kikuchi Patterns of Au-Ni Alloys
Camila A. Teixeira, Lukas Berners, Sandra Korte-Kerzel +1
Understanding how Kikuchi patterns behave with subtle material variations is essential for developing machine learning (ML) based indexing methods for structurally and chemically c…
SPARSE -- Efficient High-Resolution SEM Imaging of Rare Microstructural Features Across Large Areas by Selective Rescanning
Tom Reclik, Jan Gerlach, Maximilian A. Wollenweber +3
Characterisation of rare microstructural features in scanning electron microscopy (SEM) requires imaging large areas at high resolution. This leads to prohibitively long acquisitio…
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Khalil Rejiba, Sang-Hyeok Lee, Christina Gasper +3
Defect phase diagrams provide a unified description of crystal defect states for materials design and are central to the scientific objectives of the Collaborative Research Centre…
Resolution Enhancement of Scanning Electron Micrographs using Artificial Intelligence
Tom Reclik, Setareh Medghalchi, Philipp Schumacher +4
Scanning Electron Microscopy (SEM) is pivotal in revealing intricate micro- and nanoscale features across various research fields. However, obtaining high-resolution SEM images pre…
Predicting Grain Boundary Segregation in Magnesium Alloys: An Atomistically Informed Machine Learning Approach
Zhuocheng Xie, Achraf Atila, Julien Guénolé +3
Grain boundary (GB) segregation in magnesium (Mg) substantially influences its mechanical properties and performance. Atomic-scale modelling, typically using ab-initio or semi-empi…