Filter News
Area of Research
- (-) Supercomputing (37)
- Advanced Manufacturing (19)
- Biology and Environment (23)
- Building Technologies (1)
- Clean Energy (73)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Energy Frontier Research Centers (1)
- Fusion and Fission (2)
- Fusion Energy (2)
- Isotopes (2)
- Materials (83)
- Materials Characterization (2)
- Materials for Computing (13)
- Materials Under Extremes (1)
- National Security (8)
- Neutron Science (21)
- Nuclear Science and Technology (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Big Data (5)
- (-) Machine Learning (6)
- (-) Materials (9)
- (-) Nanotechnology (6)
- (-) Summit (20)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (5)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- Grid (3)
- High-Performance Computing (14)
- Isotopes (1)
- Materials Science (7)
- Microscopy (5)
- Molten Salt (1)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (9)
- Quantum Science (13)
- Security (4)
- Simulation (2)
- Space Exploration (2)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
ORNL’s Debangshu Mukherjee has been named an npj Computational Materials “Reviewer of the Year.”
Adrian Sabau of the Department of Energy’s Oak Ridge National Laboratory has been named an ASM International Fellow.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.