Filter News
Area of Research
- (-) National Security (12)
- (-) Supercomputing (24)
- Advanced Manufacturing (3)
- Biology and Environment (16)
- Clean Energy (42)
- Computer Science (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (2)
- Materials (17)
- Materials for Computing (3)
- Neutron Science (5)
- Nuclear Science and Technology (3)
- Sensors and Controls (1)
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (17)
- (-) Climate Change (3)
- (-) Grid (4)
- (-) Security (7)
- (-) Simulation (1)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (4)
- Big Data (1)
- Bioenergy (7)
- Biology (5)
- Biomedical (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Computer Science (35)
- Coronavirus (5)
- Cybersecurity (13)
- Decarbonization (1)
- Energy Storage (5)
- Environment (4)
- Exascale Computing (7)
- Frontier (12)
- Fusion (1)
- High-Performance Computing (11)
- Isotopes (1)
- Machine Learning (8)
- Materials (8)
- Materials Science (6)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (11)
- Neutron Science (8)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (5)
- Quantum Computing (5)
- Quantum Science (10)
- Space Exploration (1)
- Summit (14)
- Transportation (3)
Media Contacts
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
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.
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.
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.