Researchers used AI-guided electron microscopy to map atomic-level point defects in 3D within ultrathin MXene layers, advancing energy storage and electronics.

M n+1 AX n phase materials, commonly shortened to MAX, have garnered a lot of attention recently, mainly due to their outstanding mechanical, corrosion, stability and conductivity properties. From ...

Researchers working at the nanoscale have found that 3D-printed metal parts can stay mechanically strong even when they contain large numbers of defects. A peer-reviewed study on nano-architected ...

Additive manufacturing (AM) techniques increasingly require novel non-destructive inspection methods able to fit smoothly within AM workflows, in particular for the detection of structural defects. A ...

Small defects in 3D printed metal parts limit their performance and are roadblocks preventing the technology from being more widely used. Researchers at Argonne National Laboratory theorized that the ...

(Nanowerk News) An international research collaboration, including a group from Cornell Engineering, has applied a new X-ray-based reconstruction technique to observe, for the first time, topological ...

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 ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...