Predicting Metallic Defects with Machine Learning (image) DOE/Lawrence Berkeley National Laboratory Share Print E-Mail Caption Dominant defect type predictions from r-MART model for 946 B2-type intermetallics. Colors indicates the relationship between prediction and calculations as shown in the legend. Credit Bharat Medasani, Berkeley Lab / PNNL Usage Restrictions None Share Print E-Mail Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.