Filter News
Area of Research
News Topics
- (-) Biomedical (6)
- (-) Space Exploration (4)
- (-) Summit (7)
- (-) Transportation (12)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (4)
- Artificial Intelligence (15)
- Big Data (11)
- Bioenergy (21)
- Biology (29)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (5)
- Climate Change (26)
- Composites (4)
- Computer Science (26)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (26)
- Environment (40)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (10)
- Fusion (8)
- Grid (13)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Machine Learning (10)
- Materials (37)
- Materials Science (18)
- Mercury (2)
- Microscopy (14)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (14)
- Nuclear Energy (10)
- Partnerships (8)
- Physics (12)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Security (4)
- Simulation (6)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
Media Contacts
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A new Oak Ridge National Laboratory-developed method promises to protect connected and autonomous vehicles from possible network intrusion. Researchers built a prototype plug-in device designed to alert drivers of vehicle cyberattacks. The prototype is coded to learn regular timing...
Researchers used neutrons to probe a running engine at ORNL’s Spallation Neutron Source