Filter News
Area of Research
- Advanced Manufacturing (10)
- Biology and Environment (77)
- Clean Energy (71)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (11)
- Isotopes (22)
- Materials (48)
- Materials for Computing (8)
- National Security (29)
- Neutron Science (24)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Supercomputing (95)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (81)
- (-) Artificial Intelligence (75)
- (-) Biology (80)
- (-) Composites (15)
- (-) Computer Science (139)
- (-) Isotopes (45)
- (-) ITER (4)
- Advanced Reactors (18)
- Big Data (30)
- Bioenergy (74)
- Biomedical (45)
- Biotechnology (18)
- Buildings (31)
- Chemical Sciences (51)
- Clean Water (15)
- Climate Change (70)
- Coronavirus (34)
- Critical Materials (13)
- Cybersecurity (31)
- Decarbonization (64)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (137)
- Exascale Computing (34)
- Fossil Energy (5)
- Frontier (38)
- Fusion (43)
- Grid (38)
- High-Performance Computing (69)
- Hydropower (5)
- Machine Learning (35)
- Materials (100)
- Materials Science (94)
- Mathematics (6)
- Mercury (9)
- Microelectronics (3)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (53)
- Net Zero (11)
- Neutron Science (96)
- Nuclear Energy (80)
- Partnerships (43)
- Physics (52)
- Polymers (20)
- Quantum Computing (29)
- Quantum Science (56)
- Renewable Energy (2)
- Security (22)
- Simulation (38)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
“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 ...
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...
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
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...
Working backwards has moved Josh Michener’s research far forward as he uses evolution and genetics to engineer microbes for better conversion of plants into biofuels and biochemicals. In his work for the BioEnergy Science Center at ORNL, for instance, “we’ve gotten good at engineering microbes th...
While serving in Kandahar, Afghanistan, U.S. Navy construction mechanic Matthew Sallas may not have imagined where his experience would take him next. But researchers at Oak Ridge National Laboratory certainly had the future in mind as they were creating programs to train men and wome...
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.