7 citations · 7 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025
Large-Angle Convergent-Beam Electron Diffraction Patterns via Conditional Generative Adversarial Networks
Joseph J. Webb, Richard Beanland, Rudolf A. Römer
We show how generative machine learning can be used for the rapid computation of strongly dynamical electron diffraction directly from crystal structures, specifically in large-ang…
cond-mat.dis-nn2024★ 7 cited
Machine learning of phases and structures for model systems in physics
Djenabou Bayo, Burak Çivitcioğlu, Joseph J Webb +2
The detection of phase transitions is a fundamental challenge in condensed matter physics, traditionally addressed through analytical methods and direct numerical simulations. In r…