Filter News
Area of Research
- (-) Nuclear Science and Technology (4)
- (-) Supercomputing (68)
- Advanced Manufacturing (22)
- Biology and Environment (121)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (200)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (1)
- Materials (53)
- Materials for Computing (10)
- Mathematics (1)
- National Security (30)
- Neutron Science (23)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (8)
- (-) Artificial Intelligence (36)
- (-) Biology (11)
- (-) Climate Change (17)
- (-) Grid (5)
- (-) Transportation (6)
- Advanced Reactors (12)
- Big Data (19)
- Bioenergy (9)
- Biomedical (19)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Computer Science (96)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (5)
- Energy Storage (8)
- Environment (22)
- Exascale Computing (22)
- Frontier (28)
- Fusion (9)
- High-Performance Computing (38)
- Isotopes (6)
- Machine Learning (14)
- Materials (15)
- Materials Science (19)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (5)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (17)
- Nuclear Energy (39)
- Partnerships (1)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (14)
- Software (1)
- Space Exploration (8)
- Summit (42)
- Sustainable Energy (10)
- Transformational Challenge Reactor (3)
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