Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (16)
- Clean Energy (43)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (2)
- Materials (45)
- Materials for Computing (4)
- National Security (15)
- Neutron Science (13)
- Nuclear Science and Technology (5)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (50)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (27)
- (-) Biomedical (15)
- (-) Biotechnology (4)
- (-) Computer Science (69)
- (-) Microscopy (23)
- (-) Molten Salt (5)
- (-) Physics (25)
- (-) Security (13)
- (-) Transportation (29)
- 3-D Printing/Advanced Manufacturing (32)
- Advanced Reactors (12)
- Big Data (17)
- Bioenergy (30)
- Biology (29)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (11)
- Climate Change (27)
- Composites (8)
- Coronavirus (9)
- Critical Materials (5)
- Cybersecurity (15)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (35)
- Environment (58)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (12)
- Fusion (16)
- Grid (21)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (11)
- ITER (2)
- Machine Learning (15)
- Materials (37)
- Materials Science (46)
- Mercury (3)
- Nanotechnology (24)
- National Security (17)
- Net Zero (2)
- Neutron Science (38)
- Nuclear Energy (37)
- Partnerships (8)
- Polymers (12)
- Quantum Computing (7)
- Quantum Science (22)
- Simulation (6)
- Space Exploration (10)
- Summit (18)
- Sustainable Energy (33)
- Transformational Challenge Reactor (2)
Media Contacts
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
Material surfaces and interfaces may appear flat and void of texture to the naked eye, but a view from the nanoscale reveals an intricate tapestry of atomic patterns that control the reactions between the material and its environment. Electron microscopy allows researchers to probe...
Officials responsible for anticipating the demand for electric vehicle charging stations could get help through a sophisticated new method developed at Oak Ridge National Laboratory. The method considers electric vehicle volume and the random timing of vehicles arriving at cha...