Bragg Peak

Bragg peak analysis, crucial for determining crystal structures from diffraction data in fields like materials science and biology, traditionally relies on computationally intensive methods. Current research focuses on leveraging deep neural networks, particularly through automated architecture search and optimization techniques, to significantly accelerate and improve the accuracy of Bragg peak detection and analysis, including phase fraction estimation. These advancements enable real-time processing of high-throughput experiments, such as those using X-ray free-electron lasers, and reduce the need for manual parameter tuning, ultimately enhancing the efficiency and scope of scientific investigations. The resulting improvements in speed and accuracy are transforming data analysis in various experimental sciences.