Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (4)
- Clean Energy (10)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (7)
- Isotopes (1)
- Materials (17)
- Materials for Computing (3)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (2)
- Sensors and Controls (1)
- Supercomputing (7)
News Topics
- (-) Artificial Intelligence (6)
- (-) Materials Science (8)
- (-) Microscopy (4)
- (-) Nuclear Energy (9)
- (-) Physics (10)
- (-) Polymers (3)
- (-) Security (5)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (4)
- Big Data (1)
- Bioenergy (4)
- Biology (7)
- Biomedical (2)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (9)
- Climate Change (2)
- Composites (1)
- Computer Science (13)
- Coronavirus (2)
- Critical Materials (1)
- Cybersecurity (5)
- Decarbonization (5)
- Element Discovery (1)
- Energy Storage (15)
- Environment (6)
- Exascale Computing (3)
- Fossil Energy (1)
- Frontier (5)
- Fusion (3)
- Grid (6)
- High-Performance Computing (3)
- Isotopes (4)
- ITER (1)
- Machine Learning (3)
- Materials (16)
- Nanotechnology (6)
- National Security (7)
- Neutron Science (10)
- Partnerships (6)
- Quantum Computing (2)
- Quantum Science (6)
- Space Exploration (1)
- Summit (3)
- Transformational Challenge Reactor (2)
- Transportation (5)
Media Contacts
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the