Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (50)
- Building Technologies (1)
- Clean Energy (24)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Fusion and Fission (6)
- Isotopes (1)
- Materials (10)
- Materials for Computing (4)
- Mathematics (1)
- National Security (9)
- Neutron Science (6)
- Quantum information Science (2)
- Supercomputing (43)
News Topics
- (-) Advanced Reactors (5)
- (-) Artificial Intelligence (33)
- (-) Bioenergy (35)
- (-) Climate Change (42)
- (-) Composites (12)
- (-) Computer Science (53)
- (-) Mathematics (3)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (46)
- Big Data (15)
- Biology (52)
- Biomedical (17)
- Biotechnology (11)
- Buildings (27)
- Chemical Sciences (31)
- Clean Water (13)
- Coronavirus (14)
- Critical Materials (10)
- Cybersecurity (14)
- Decarbonization (37)
- Education (3)
- Emergency (1)
- Energy Storage (43)
- Environment (82)
- Exascale Computing (17)
- Fossil Energy (2)
- Frontier (23)
- Fusion (17)
- Grid (27)
- High-Performance Computing (52)
- Hydropower (3)
- Irradiation (2)
- Isotopes (23)
- ITER (4)
- Machine Learning (16)
- Materials (91)
- Materials Science (38)
- Mercury (5)
- Microelectronics (2)
- Microscopy (17)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (28)
- Net Zero (6)
- Neutron Science (50)
- Nuclear Energy (27)
- Partnerships (24)
- Physics (17)
- Polymers (9)
- Quantum Computing (17)
- Quantum Science (21)
- Renewable Energy (2)
- Simulation (29)
- Software (1)
- Space Exploration (8)
- Statistics (1)
- Summit (18)
- Sustainable Energy (52)
- Transportation (39)
Media Contacts
Scientists at ORNL have discovered a single gene that simultaneously boosts plant growth and tolerance for stresses such as drought and salt, all while tackling the root cause of climate change by enabling plants to pull more carbon dioxide from the atmosphere.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
A research team led by Oak Ridge National Laboratory bioengineered a microbe to efficiently turn waste into itaconic acid, an industrial chemical used in plastics and paints.
Oak Ridge National Laboratory researchers, in collaboration with Cincinnati Inc., demonstrated the potential for using multimaterials and recycled composites in large-scale applications by 3D printing a mold that replicated a single facet of a
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
Esther Parish is one of eight scientists from the Department of Energy's Oak Ridge National Laboratory talking to students in nine schools across East Tennessee as part of National Environmental Education Week, or EE Week.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.