Filter News
Area of Research
- Biology and Environment (6)
- Clean Energy (17)
- Computational Engineering (3)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (11)
- Materials for Computing (2)
- Mathematics (1)
- National Security (3)
- Neutron Science (26)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (7)
News Type
News Topics
- (-) Artificial Intelligence (12)
- (-) Biomedical (10)
- (-) Climate Change (8)
- (-) Grid (13)
- (-) Neutron Science (30)
- (-) Security (7)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (8)
- Big Data (8)
- Bioenergy (11)
- Biology (9)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (5)
- Clean Water (9)
- Composites (9)
- Computer Science (48)
- Coronavirus (7)
- Critical Materials (5)
- Cybersecurity (10)
- Decarbonization (2)
- Energy Storage (20)
- Environment (29)
- Exascale Computing (1)
- Frontier (5)
- Fusion (13)
- High-Performance Computing (10)
- Isotopes (10)
- ITER (3)
- Machine Learning (5)
- Materials (27)
- Materials Science (34)
- Mathematics (1)
- Mercury (1)
- Microscopy (12)
- Molten Salt (4)
- Nanotechnology (16)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (17)
- Physics (9)
- Polymers (7)
- Quantum Computing (4)
- Quantum Science (18)
- Space Exploration (7)
- Statistics (1)
- Summit (12)
- Sustainable Energy (33)
- Transportation (24)
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