Search Results for author:
Found 2 papers, 1 papers with code
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning
In this paper, we introduce a new serial crystallography dataset comprised of real and synthetic images; the synthetic images are generated through the use of a simulator that is both scalable and accurate.
DiffraNet: Automatic Classification of Serial Crystallography Diffraction Patterns
In this paper, we introduce a new serial crystallography dataset generated through the use of a simulator; the synthetic images are labeled and they are both scalable and accurate.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
