Understanding Material Disorders with the Help of Generative Models
Researchers at the National University of Singapore (NUS) have employed generative machine learning models to investigate the various ways in which mismatches can occur between atoms in adjacent crystals of piezoelectric materials—materials that, when subjected to mechanical stress, produce a modest electrical voltage. This discovery reveals how disorder develops in these types of materials.
Source: azom.com