Filter News
Area of Research
- Advanced Manufacturing (10)
- Biological Systems (1)
- Biology and Environment (31)
- Clean Energy (80)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (4)
- Materials (33)
- Materials for Computing (6)
- National Security (11)
- Neutron Science (19)
- Nuclear Science and Technology (9)
- Supercomputing (73)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (77)
- (-) Advanced Reactors (18)
- (-) Biomedical (45)
- (-) Frontier (37)
- (-) Grid (38)
- (-) Polymers (19)
- (-) Statistics (2)
- (-) Summit (50)
- Artificial Intelligence (71)
- Big Data (29)
- Bioenergy (72)
- Biology (78)
- Biotechnology (17)
- Buildings (29)
- Chemical Sciences (49)
- Clean Water (15)
- Climate Change (68)
- Composites (14)
- Computer Science (137)
- Coronavirus (34)
- Critical Materials (12)
- Cybersecurity (31)
- Decarbonization (60)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (136)
- Exascale Computing (33)
- Fossil Energy (5)
- Fusion (41)
- High-Performance Computing (68)
- Hydropower (5)
- Isotopes (40)
- ITER (4)
- Machine Learning (34)
- Materials (97)
- Materials Science (90)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (35)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (50)
- Net Zero (11)
- Neutron Science (94)
- Nuclear Energy (77)
- Partnerships (39)
- Physics (50)
- Quantum Computing (26)
- Quantum Science (53)
- Renewable Energy (2)
- Security (21)
- Simulation (37)
- Software (1)
- Space Exploration (14)
- Sustainable Energy (73)
- Transformational Challenge Reactor (7)
- Transportation (51)
Media Contacts
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.
The Department of Energy’s Oak Ridge National Laboratory is collaborating with industry on six new projects focused on advancing commercial nuclear energy technologies that offer potential improvements to current nuclear reactors and move new reactor designs closer to deployment.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.
Two leaders in US manufacturing innovation, Thomas Kurfess and Scott Smith, are joining the Department of Energy’s Oak Ridge National Laboratory to support its pioneering research in advanced manufacturing.
Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...
As Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
The next cohort of Innovation Crossroads fellows at Oak Ridge National Laboratory will receive support from the U.S. Department of Energy’s Advanced Manufacturing Office (AMO) and the Tennessee Valley Authority (TVA). Officials made the announcement today at th...
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
The US Department of Energy’s Oak Ridge National Laboratory is once again officially home to the fastest supercomputer in the world, according to the TOP500 List, a semiannual ranking of the world’s fastest computing systems.
The U.S. Department of Energy’s Oak Ridge National Laboratory today unveiled Summit as the world’s most powerful and smartest scientific supercomputer.