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 ...

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 ...

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 ...

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

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 ...

Building 3D printed parts with artificial intelligence (AI) can optimize the design process by generating complex geometries that are lightweight yet strong. This can be difficult to achieve manually.

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.