MIT Develops AI Model to Identify Atomic Defects in Materials
MIT researchers have created an AI model capable of classifying and quantifying atomic-scale defects in materials using noninvasive neutron-scattering data. The system can simultaneously detect multiple defect types in semiconductors and related materials, potentially advancing quality control and performance for industries such as electronics and solar energy.