Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (15)
- Building Technologies (3)
- Clean Energy (60)
- Computational Engineering (2)
- Computer Science (7)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (14)
- Fusion Energy (7)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (88)
- Materials Characterization (1)
- Materials for Computing (12)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (14)
- Neutron Science (27)
- Nuclear Science and Technology (18)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (40)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (42)
- (-) Buildings (32)
- (-) Clean Water (14)
- (-) Frontier (15)
- (-) Materials Science (83)
- (-) Microscopy (27)
- (-) Nuclear Energy (43)
- (-) Physics (28)
- (-) Security (12)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Chemical Sciences (37)
- Climate Change (44)
- Composites (18)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (26)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Fusion (23)
- Grid (35)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Mathematics (1)
- Mercury (5)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Partnerships (27)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (15)
- Space Exploration (13)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (59)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
Building innovations from ORNL will be on display in Washington, D.C. on the National Mall June 7 to June 9, 2024, during the U.S. Department of Housing and Urban Development’s Innovation Housing Showcase. For the first time, ORNL’s real-time building evaluator was demonstrated outside of a laboratory setting and deployed for building construction.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
A technology developed by Oak Ridge National Laboratory works to keep food refrigerated with phase change materials, or PCMs, while reducing carbon emissions by 30%.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
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.
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.