Filter News
Area of Research
- Advanced Manufacturing (8)
- Biological Systems (2)
- Biology and Environment (51)
- Building Technologies (1)
- Clean Energy (50)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (4)
- Fusion Energy (4)
- Isotopes (1)
- Materials (63)
- Materials for Computing (13)
- Mathematics (1)
- National Security (14)
- Neutron Science (60)
- Nuclear Science and Technology (6)
- Quantum information Science (5)
- Supercomputing (78)
- Transportation Systems (1)
News Type
News Topics
- (-) Bioenergy (61)
- (-) Composites (14)
- (-) Computer Science (115)
- (-) Frontier (20)
- (-) Materials Science (68)
- (-) Neutron Science (70)
- (-) Physics (29)
- 3-D Printing/Advanced Manufacturing (63)
- Advanced Reactors (19)
- Artificial Intelligence (51)
- Big Data (36)
- Biology (70)
- Biomedical (37)
- Biotechnology (12)
- Buildings (33)
- Chemical Sciences (26)
- Clean Water (27)
- Climate Change (64)
- Coronavirus (28)
- Critical Materials (12)
- Cybersecurity (17)
- Decarbonization (46)
- Emergency (2)
- Energy Storage (58)
- Environment (141)
- Exascale Computing (22)
- Fossil Energy (3)
- Fusion (36)
- Grid (41)
- High-Performance Computing (49)
- Hydropower (11)
- Irradiation (2)
- Isotopes (28)
- ITER (5)
- Machine Learning (29)
- Materials (71)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Microscopy (30)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (33)
- Net Zero (7)
- Nuclear Energy (67)
- Partnerships (12)
- Polymers (15)
- Quantum Computing (19)
- Quantum Science (34)
- Renewable Energy (1)
- Security (11)
- Simulation (31)
- Software (1)
- Space Exploration (21)
- Statistics (1)
- Summit (35)
- Sustainable Energy (79)
- Transformational Challenge Reactor (3)
- Transportation (60)
Media Contacts
Scientists at ORNL have developed a method that demonstrates how fiber-reinforced polymer composite materials used in the automotive, aerospace and renewable energy industries can be made stronger and tougher to better withstand mechanical or structural stresses over time.
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
Astrophysicists at the State University of New York, Stony Brook and University of California, Berkeley, used the Oak Ridge Leadership Computing Facility’s Summit supercomputer to compare models of X-ray bursts in 2D and 3D.
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.