Filter News
Area of Research
- (-) Functional Materials for Energy (1)
- (-) Neutron Science (21)
- (-) Supercomputing (87)
- Advanced Manufacturing (4)
- Biological Systems (2)
- Biology and Environment (88)
- Biology and Soft Matter (1)
- Clean Energy (66)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (46)
- Fusion Energy (16)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (47)
- Materials for Computing (2)
- Mathematics (1)
- National Security (29)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (39)
- (-) Bioenergy (13)
- (-) Climate Change (17)
- (-) Frontier (29)
- (-) Fusion (2)
- (-) Nuclear Energy (7)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (10)
- Big Data (20)
- Biology (14)
- Biomedical (25)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Composites (1)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (7)
- Energy Storage (15)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Grid (5)
- High-Performance Computing (39)
- Isotopes (1)
- Machine Learning (16)
- Materials (29)
- Materials Science (33)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Partnerships (1)
- Physics (16)
- Polymers (3)
- Quantum Computing (19)
- Quantum Science (29)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (42)
- Sustainable Energy (11)
- Transportation (10)
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