Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (29)
- (-) Coronavirus (17)
- (-) Exascale Computing (9)
- 3-D Printing/Advanced Manufacturing (44)
- Advanced Reactors (10)
- Big Data (8)
- Bioenergy (24)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (29)
- Clean Water (1)
- Climate Change (22)
- Composites (9)
- Computer Science (57)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (18)
- Education (3)
- Element Discovery (1)
- Energy Storage (41)
- Environment (36)
- Fossil Energy (1)
- Frontier (14)
- Fusion (14)
- Grid (15)
- High-Performance Computing (26)
- Isotopes (17)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (50)
- Mercury (2)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Partnerships (26)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Statistics (2)
- Summit (20)
- Sustainable Energy (31)
- Transformational Challenge Reactor (4)
- 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
The Department of Energy’s Oak Ridge National Laboratory has received funding from DOE’s Exascale Computing Project (ECP) to develop applications for future exascale systems that will be 50 to 100 times more powerful than today’s fastest supercomputers.