X Ray Diffraction

X-ray diffraction (XRD) is a powerful technique for determining the crystal structure of materials, with primary objectives of phase identification and quantitative analysis. Current research focuses on automating XRD data analysis using machine learning, employing architectures like convolutional neural networks (CNNs), U-Nets, and ResNets, often trained on synthetic or augmented datasets to overcome limitations of experimental data availability. These advancements significantly accelerate materials characterization, improving efficiency in high-throughput experimentation and enabling real-time analysis of dynamic processes in diverse fields such as materials science and biomedical research.