Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (34)
- Biology and Soft Matter (1)
- Clean Energy (40)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (16)
- Materials (34)
- Materials for Computing (4)
- National Security (12)
- Neutron Science (10)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (47)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (35)
- (-) Artificial Intelligence (45)
- (-) Climate Change (47)
- (-) Composites (6)
- (-) Frontier (23)
- (-) Isotopes (26)
- (-) Materials (40)
- (-) Microscopy (20)
- (-) Molten Salt (1)
- (-) Space Exploration (12)
- Advanced Reactors (8)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Fusion (28)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- ITER (2)
- Machine Learning (21)
- Materials Science (43)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Nanotechnology (16)
- National Security (33)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (52)
- Partnerships (15)
- Physics (27)
- Polymers (8)
- Quantum Computing (19)
- Quantum Science (29)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
When Scott Smith looks at a machine tool, he thinks not about what the powerful equipment used to shape metal can do – he’s imagining what it could do with the right added parts and strategies. As ORNL’s leader for a newly formed group, Machining and Machine Tool Research, Smith will have the opportunity to do just that.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
Alex Roschli is no stranger to finding himself in unique situations. After all, the early career researcher in ORNL’s Manufacturing Systems Research group bears a last name that only 29 other people share in the United States, and he’s certain he’s the only Roschli (a moniker that hails from Switzerland) with the first name Alex.
A residential and commercial tower under development in Brooklyn that is changing the New York City skyline has its roots in research at the Department of Energy’s Oak Ridge National Laboratory.
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...
A new microscopy technique developed at the University of Illinois at Chicago allows researchers to visualize liquids at the nanoscale level — about 10 times more resolution than with traditional transmission electron microscopy — for the first time. By trapping minute amounts of...
A tiny vial of gray powder produced at the Department of Energy’s Oak Ridge National Laboratory is the backbone of a new experiment to study the intense magnetic fields created in nuclear collisions.
Thanks in large part to developing and operating a facility for testing molten salt reactor (MSR) technologies, nuclear experts at the Energy Department’s Oak Ridge National Laboratory (ORNL) are now tackling the next generation of another type of clean energy—concentrating ...
“Made in the USA.” That can now be said of the radioactive isotope molybdenum-99 (Mo-99), last made in the United States in the late 1980s. Its short-lived decay product, technetium-99m (Tc-99m), is the most widely used radioisotope in medical diagnostic imaging. Tc-99m is best known ...