DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning

26 Apr 2019Artur SouzaLeonardo B. OliveiraSabine HollatzMatt FeldmanKunle OlukotunJames M. HoltonAina E. CohenLuigi Nardi

Serial crystallography is the field of science that studies the structure and properties of crystals via diffraction patterns. 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... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet