Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (37)
- Biology and Soft Matter (1)
- Clean Energy (27)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (17)
- Materials for Computing (2)
- National Security (11)
- Neutron Science (3)
- Supercomputing (18)
News Topics
- (-) Advanced Reactors (4)
- (-) Artificial Intelligence (14)
- (-) Biomedical (6)
- (-) Climate Change (26)
- (-) Environment (36)
- (-) Frontier (10)
- (-) Machine Learning (10)
- (-) Mercury (1)
- (-) Polymers (5)
- (-) Sustainable Energy (25)
- (-) Transportation (10)
- 3-D Printing/Advanced Manufacturing (12)
- Big Data (9)
- Bioenergy (19)
- Biology (28)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (5)
- Composites (3)
- Computer Science (20)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (25)
- Exascale Computing (8)
- Fossil Energy (1)
- Fusion (7)
- Grid (13)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Materials (37)
- Materials Science (16)
- Microscopy (13)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (12)
- Nuclear Energy (10)
- Partnerships (8)
- Physics (10)
- Quantum Computing (7)
- Quantum Science (9)
- Security (4)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Transformational Challenge Reactor (2)
Media Contacts
A novel method to 3D print components for nuclear reactors, developed by the Department of Energy’s Oak Ridge National Laboratory, has been licensed by Ultra Safe Nuclear Corporation.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.