Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (29)
- Clean Energy (62)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (4)
- Materials (28)
- Materials for Computing (7)
- Mathematics (1)
- National Security (24)
- Neutron Science (10)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (39)
News Type
News Topics
- (-) Biomedical (36)
- (-) Clean Water (19)
- (-) Cybersecurity (26)
- (-) Grid (42)
- (-) Machine Learning (25)
- (-) Polymers (25)
- (-) Summit (28)
- 3-D Printing/Advanced Manufacturing (85)
- Advanced Reactors (25)
- Artificial Intelligence (43)
- Big Data (26)
- Bioenergy (55)
- Biology (59)
- Biotechnology (13)
- Buildings (37)
- Chemical Sciences (41)
- Climate Change (54)
- Composites (20)
- Computer Science (107)
- Coronavirus (34)
- Critical Materials (22)
- Decarbonization (37)
- Education (3)
- Element Discovery (1)
- Energy Storage (84)
- Environment (112)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (17)
- Fusion (29)
- High-Performance Computing (44)
- Hydropower (8)
- Irradiation (2)
- Isotopes (29)
- ITER (6)
- Materials (98)
- Materials Science (92)
- Mathematics (4)
- Mercury (9)
- Microscopy (36)
- Molten Salt (7)
- Nanotechnology (44)
- National Security (33)
- Net Zero (6)
- Neutron Science (84)
- Nuclear Energy (56)
- Partnerships (26)
- Physics (44)
- Quantum Computing (14)
- Quantum Science (39)
- Renewable Energy (1)
- Security (17)
- Simulation (17)
- Space Exploration (13)
- Statistics (2)
- Sustainable Energy (86)
- Transformational Challenge Reactor (4)
- Transportation (72)
Media Contacts
ORNL researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.
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.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.