Quantum precision reached in modeling molten salt behavior
United Rare Earths has licensed two innovative technologies from Oak Ridge National Laboratory aimed at reducing dependence on critical rare earth elements.
Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.
Researchers at ORNL have developed a tool that gives builders a quick way to measure, correct and certify level foundations. FLAT, or the Flat and Level Analysis Tool, examines a 360-degree laser scan of a construction site using ORNL-developed segmentation algorithms and machine learning to locate uneven areas on a concrete slab.
Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.
Scientists at ORNL have developed a vacuum-assisted extrusion method that reduces internal porosity by up to 75% in large-scale 3D-printed polymer parts. This new technique addresses the critical issue of porosity in large-scale prints but also paves the way for stronger composites.
ORNL, the Tennessee Valley Authority and the Tennessee Department of Economic and Community Development were recognized by the Federal Laboratory Consortium, or FLC, for their efforts to develop Tennessee as a national leader in fusion energy.
By editing the polymers of discarded plastics, ORNL chemists have found a way to generate new macromolecules with more valuable properties than those of the starting material.
Researchers at Oak Ridge National Laboratory have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center.
Shaun Gleason has been named director of the Partnerships Office at ORNL. Gleason has worked at ORNL for several decades, in a variety of roles, including Director of Science-Security Initiative Integration, Director of the Computational Sciences and Engineering Division and Director of Institutional Planning.
Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast.