Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (6)
- Clean Energy (9)
- Computational Engineering (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (9)
- Mathematics (1)
- National Security (8)
- Neutron Science (3)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (5)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Clean Water (13)
- (-) Cybersecurity (9)
- (-) Molten Salt (6)
- (-) National Security (10)
- (-) Statistics (1)
- 3-D Printing/Advanced Manufacturing (49)
- Artificial Intelligence (21)
- Big Data (18)
- Bioenergy (21)
- Biology (24)
- Biomedical (15)
- Biotechnology (3)
- Buildings (24)
- Chemical Sciences (21)
- Climate Change (28)
- Composites (13)
- Computer Science (55)
- Coronavirus (15)
- Critical Materials (13)
- Decarbonization (12)
- Energy Storage (47)
- Environment (58)
- Exascale Computing (4)
- Frontier (4)
- Fusion (17)
- Grid (23)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (13)
- ITER (4)
- Machine Learning (12)
- Materials (68)
- Materials Science (53)
- Mathematics (1)
- Mercury (3)
- Microscopy (20)
- Nanotechnology (24)
- Net Zero (2)
- Neutron Science (41)
- Nuclear Energy (34)
- Partnerships (6)
- Physics (10)
- Polymers (14)
- Quantum Computing (6)
- Quantum Science (14)
- Security (4)
- Simulation (11)
- Software (1)
- Space Exploration (11)
- Summit (8)
- Sustainable Energy (53)
- Transformational Challenge Reactor (1)
- Transportation (46)
Media Contacts
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
ORNL took home the top honors in three categories at the second annual DOE Geospatial Science Poster competition, held on National GIS Day. For the second year in a row, DOE awarded ORNL top prize as Best Geospatial Program. Additionally, ORNL geospatial researchers took home first place prizes for their posters in the Best Departmental Element Alignment and Best Cartography categories.
Lieutenant Commander Rich Harvey has spent the last three decades of his career serving his country. Harvey's efforts supporting the Office of Naval Research has earned him the 2023 Junior Scientist Officer of the Year award for coordination and computer modeling support for a project called TALISMAN, his leadership roles and other exemplary service markers.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Anne Campbell, a researcher at ORNL, recently won the Young Leaders Professional Development Award from the Minerals, Metals & Materials Society, or TMS, and has been chosen as the first recipient of the Young Leaders International Scholar Program award from TMS and the Korean Institute of Metals and Materials, or KIM.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
The Department of Defense has recognized UT-Battelle with a 2022 Secretary of Defense Employer Support Freedom Award, the highest recognition given by the United States government to employers for their support of staff members who serve as reserve members of the U.S. Armed Forces, known collectively as the Reserve component.
In front of family and friends, Lt. Col. Jessica Critcher and Maj. Micah McCracken gave their final report on their eye-opening year as ORNL military fellows.
Researchers at Oak Ridge National Laboratory have empirically quantified the shifts in routine daytime activities, such as getting a morning coffee or takeaway dinner, following safer at home orders during the early days of the COVID-19 pandemic.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.