Filter News
Area of Research
- Biology and Environment (33)
- Clean Energy (51)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (16)
- Materials (27)
- Materials for Computing (6)
- National Security (9)
- Neutron Science (12)
- Nuclear Science and Technology (7)
- Quantum information Science (2)
- Supercomputing (46)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Clean Water (14)
- (-) Composites (8)
- (-) Computer Science (86)
- (-) Energy Storage (29)
- (-) Isotopes (27)
- (-) Space Exploration (12)
- (-) Sustainable Energy (47)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (41)
- Artificial Intelligence (48)
- Big Data (26)
- Bioenergy (51)
- Biology (60)
- Biomedical (29)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (25)
- Climate Change (50)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Environment (104)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (24)
- Fusion (31)
- Grid (25)
- High-Performance Computing (44)
- Hydropower (5)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (45)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (39)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (18)
- Physics (29)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Statistics (1)
- Summit (30)
- Transformational Challenge Reactor (3)
Media Contacts
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 ...
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.
“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 ...
Last November a team of students and educators from Robertsville Middle School in Oak Ridge and scientists from Oak Ridge National Laboratory submitted a proposal to NASA for their Cube Satellite Launch Initiative in hopes of sending a student-designed nanosatellite named RamSat into...
Researchers are looking to neutrons for new ways to save fuel during the operation of filters that clean the soot, or carbon and ash-based particulate matter, emitted by vehicles. A team of researchers from the Energy and Transportation Science Division at the Department of En...
Nuclear physicists are using the nation’s most powerful supercomputer, Titan, at the Oak Ridge Leadership Computing Facility to study particle interactions important to energy production in the Sun and stars and to propel the search for new physics discoveries Direct calculatio...
The same fusion reactions that power the sun also occur inside a tokamak, a device that uses magnetic fields to confine and control plasmas of 100-plus million degrees. Under extreme temperatures and pressure, hydrogen atoms can fuse together, creating new helium atoms and simulta...
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...