Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (87)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (23)
- Materials (44)
- Materials for Computing (7)
- National Security (28)
- Neutron Science (27)
- Nuclear Science and Technology (12)
- Quantum information Science (2)
- Supercomputing (96)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Artificial Intelligence (79)
- (-) Biomedical (46)
- (-) Clean Water (16)
- (-) Computer Science (145)
- (-) Environment (139)
- (-) Isotopes (45)
- (-) Mercury (9)
- (-) Transformational Challenge Reactor (7)
- 3-D Printing/Advanced Manufacturing (85)
- Big Data (34)
- Bioenergy (74)
- Biology (81)
- Biotechnology (19)
- Buildings (33)
- Chemical Sciences (54)
- Climate Change (72)
- Composites (18)
- Coronavirus (34)
- Critical Materials (15)
- Cybersecurity (31)
- Decarbonization (65)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (71)
- Exascale Computing (36)
- Fossil Energy (5)
- Frontier (40)
- Fusion (44)
- Grid (40)
- High-Performance Computing (73)
- Hydropower (5)
- ITER (4)
- Machine Learning (35)
- Materials (100)
- Materials Science (96)
- Mathematics (7)
- Microelectronics (3)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (58)
- Net Zero (11)
- Neutron Science (96)
- Nuclear Energy (81)
- Partnerships (47)
- Physics (54)
- Polymers (20)
- Quantum Computing (30)
- Quantum Science (56)
- Renewable Energy (2)
- Security (22)
- Simulation (40)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (52)
- Sustainable Energy (77)
- Transportation (52)
Media Contacts
The Department of Energy’s Oak Ridge National Laboratory is now producing actinium-227 (Ac-227) to meet projected demand for a highly effective cancer drug through a 10-year contract between the U.S. DOE Isotope Program and Bayer.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
“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...
With the licensing to Enchi Corporation of a microbe custom-designed to produce ethanol efficiently, Oak Ridge National Laboratory (ORNL) and the BioEnergy Science Center (BESC) mark the culmination of 10 years’ research into ways to improve biofuels production. Enchi ha...
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...