Unlocking the Secrets of Materials Analysis with Machine Learning Techniques and X-Ray Technology
In a major breakthrough, scientists have developed new machine learning techniques that could revolutionize the way materials are analyzed using X-rays. This new technology could help engineers and technicians quickly and accurately identify the chemical composition of a material, a process that can currently take days or weeks to complete. The new method uses a combination of neural networks and X-ray diffraction to accurately identify the chemical composition of a sample without the need for manual sample preparation or complex analysis. This could have huge implications in the materials science field, allowing for faster, more accurate materials analysis.
source: Phys.org