Filter News
Area of Research
- (-) Materials (31)
- (-) Supercomputing (40)
- Advanced Manufacturing (2)
- Biology and Environment (19)
- Clean Energy (28)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (1)
- Materials for Computing (3)
- National Security (7)
- Neutron Science (15)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (14)
- (-) Big Data (1)
- (-) Bioenergy (12)
- (-) Composites (3)
- (-) Coronavirus (7)
- (-) Microscopy (13)
- (-) Molten Salt (2)
- (-) Quantum Science (17)
- (-) Summit (14)
- 3-D Printing/Advanced Manufacturing (15)
- Advanced Reactors (1)
- Biology (7)
- Biomedical (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (20)
- Climate Change (7)
- Computer Science (32)
- Critical Materials (8)
- Cybersecurity (6)
- Decarbonization (5)
- Energy Storage (20)
- Environment (10)
- Exascale Computing (7)
- Frontier (12)
- Fusion (2)
- Grid (5)
- High-Performance Computing (13)
- Isotopes (5)
- ITER (1)
- Machine Learning (5)
- Materials (41)
- Materials Science (37)
- Nanotechnology (23)
- National Security (5)
- Net Zero (1)
- Neutron Science (22)
- Nuclear Energy (3)
- Partnerships (8)
- Physics (17)
- Polymers (6)
- Quantum Computing (5)
- Renewable Energy (1)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Sustainable Energy (9)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
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