Add Yahoo as a preferred source to see more of our stories on Google. Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new ...

Using X-ray beams and machine learning for detecting structural defects, such as pore formation, can help prevent failure of metal 3D-printed parts. Systematic computer-based material design uses ...

A growing number of academic and industrial research groups regard the integration of artificial intelligence-based algorithms into the 3D printing process as a promising approach to improve the ...

Understanding how dislocations (line defects in the crystal structure) occur when 3D-printing metals has been unclear to materials scientists. Understanding when and how dislocations form in ...

3D printing has become more prevalent among DIYers with each passing year. Here are five must-know rules for makers of all ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.