Filter News
Area of Research
- (-) Supercomputing (18)
- Advanced Manufacturing (2)
- Biology and Environment (7)
- Clean Energy (21)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (30)
- Materials for Computing (2)
- National Security (10)
- Neutron Science (10)
- Nuclear Science and Technology (8)
- Sensors and Controls (1)
News Topics
- (-) Grid (3)
- (-) Machine Learning (5)
- (-) Microscopy (5)
- (-) Nuclear Energy (1)
- (-) Physics (4)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (12)
- Big Data (1)
- Bioenergy (6)
- Biology (4)
- Biomedical (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (31)
- Coronavirus (5)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (5)
- Environment (3)
- Exascale Computing (7)
- Frontier (12)
- High-Performance Computing (11)
- Isotopes (1)
- Materials (8)
- Materials Science (6)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (5)
- Neutron Science (7)
- Partnerships (1)
- Quantum Computing (5)
- Quantum Science (10)
- Simulation (1)
- Space Exploration (1)
- Summit (14)
- Sustainable Energy (5)
- Transportation (2)
Media Contacts
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.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.