Using a large, unstructured dataset gleaned from 25,000 images, scientists demonstrate a novel machine learning technique to identify structural similarities and trends in materials for the first time.
Joshua Agar’s AI technique has allowed him and his team to identify and visualize geometrically driven differences in ferroelectric domain switching, an important advancement for next-generation computing.
