Filter News
Area of Research
- Biology and Environment (27)
- Biology and Soft Matter (1)
- Clean Energy (27)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (11)
- Isotopes (2)
- Materials (26)
- Materials for Computing (4)
- National Security (12)
- Neutron Science (6)
- Supercomputing (16)
News Topics
- (-) Advanced Reactors (4)
- (-) Artificial Intelligence (14)
- (-) Big Data (9)
- (-) Clean Water (5)
- (-) Climate Change (26)
- (-) Energy Storage (25)
- (-) Grid (13)
- (-) Nanotechnology (9)
- (-) Nuclear Energy (10)
- (-) Physics (10)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (12)
- Bioenergy (19)
- Biology (28)
- Biomedical (6)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Composites (3)
- Computer Science (20)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (21)
- Element Discovery (1)
- Environment (36)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (10)
- Fusion (7)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Machine Learning (10)
- Materials (37)
- Materials Science (16)
- Mercury (1)
- Microscopy (13)
- National Security (17)
- Net Zero (2)
- Neutron Science (12)
- Partnerships (8)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
- Transportation (10)
Media Contacts
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.