Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (17)
- Clean Energy (30)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (5)
- Materials (13)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (9)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
- Supercomputing (58)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (35)
- (-) Advanced Reactors (8)
- (-) Composites (6)
- (-) Computer Science (80)
- (-) Exascale Computing (24)
- (-) Frontier (23)
- (-) Molten Salt (1)
- Artificial Intelligence (45)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Fossil Energy (4)
- Fusion (28)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (26)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Materials Science (43)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- 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)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
As technology continues to evolve, cybersecurity threats do as well. To better safeguard digital information, a team of researchers at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL) has developed Akatosh, a security analysis tool that works in conjunctio...
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 ...
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...
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...
Oak Ridge National Laboratory experts are playing leading roles in the recently established Department of Energy’s (DOE’s) Exascale Computing Project (ECP), a multi-lab initiative responsible for developing the strategy, aligning the resources, and conducting the R&D necessary to achieve the nation’s imperative of delivering exascale computing by 2021.
ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants