News

Photo of glowing, pink diamond-shaped figure. This is illuminated with light, encircled with a wreath of around 70 blue tube-like shapes.
Promethium’s secrets exposed
Male student wearing clear safety goggles peering through a 3D-printed item.
tnAchieves students learn about lab careers
Photo of a man in a black jacket suit with a blue shirt crossing his arms outside. He is smiling.
Wagner receives ASME Medal

Filter News

Area of Research

News Type

Date

News Topics

Media Contacts

Connect with ORNL

ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.

ZEISS, ORNL sign licensing agreement for inspection of 3D-printed parts

A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine

Researchers captured atomic-level insights on the rare-earth mineral monazite to inform future design of flotation collector molecules, illustrated above, that can aid in the recovery of critical materials. Credit: Chad Malone/ORNL, U.S. Dept. of Energy

Designer molecules may help valuable minerals float

Critical Materials Institute researchers at Oak Ridge National Laboratory and Arizona State University studied the mineral monazite, an important source of rare-earth elements, to enhance methods of recovering critical materials for energy, defense and manufacturing applications.