Generative model unveils secrets of material disorder

National University of Singapore (NUS) scientists have utilized generative machine learning models to explore the different methods in which atoms between adjacent crystals in a piezoelectric material, which are materials that generate a small electrical voltage upon application of mechanical stress, can experience mismatches. This revelation unveils the pathways through which disorder emerges in such materials.