Showing 8 results for Researcher: Stephen DeWitt
August 6, 2026
4 MIN READ
Researchers at ORNL and the University of Tennessee, Knoxville, demonstrated an AI-driven workflow that guided data collection in real time during a beamline experiment at Cornell University's CHESS facility. The approach allowed the AI to adjust measurements as data was collected, advancing autonomous scientific research and supporting DOE's Genesis Mission.
July 22, 2026
4 MIN READ
The Department of Energy’s Oak Ridge National Laboratory scientists will lead nine and contribute to an additional 30 projects of the Genesis Mission, which aims to transform science in the U.S.
June 18, 2026
5 MIN READ
ORNL had a major presence at the 2026 AI+ Expo for National Competitiveness with multiple ORNL researchers presenting and demoing their latest work. Hosted by the Special Competitive Studies Project, the event brought together leaders from technology, academia, industry and government to discuss the rapidly evolving role of artificial intelligence in advancing U.S. innovation, energy resilience, competitiveness and national security.
December 9, 2025
6 MIN READ
At SC25, DOE Undersecretary Dario Gil joined national labs in spotlighting the accelerating integration of AI, quantum and HPC, while ORNL delivered multiple talks and demonstrations on emerging computational technologies. ORNL teams also won Best Paper, Best Student Paper and several additional honors.
September 11, 2024
6 MIN READ
A new convergent manufacturing platform, developed in only five months at the Department of Energy’s Oak Ridge National Laboratory, is debuting at the International Manufacturing Technology Show, or IMTS, in Chicago, Sept. 9–12, 2024.
February 1, 2023
6 MIN READ
A multidisciplinary team of researchers from Oak Ridge National Laboratory and the University of Texas at Austin developed a new machine-learning-based reduced-order model called GrainNN to predict the grain structure that forms as a metal solidifies.
April 20, 2022
5 MIN READ
A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and the University of Texas at Austin developed a new framework for assessing the accuracy of approximate models of microstructure formation.
March 29, 2022
5 MIN READ
A team of researchers from Oak Ridge National Laboratory demonstrated highly scalable performance across thousands of GPUs in a newly released version of the open-source MEUMAPPS phase-field simulation framework.