Filter News
Area of Research
- (-) Clean Energy (23)
- (-) National Security (9)
- Advanced Manufacturing (1)
- Biology and Environment (8)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (16)
- Materials for Computing (5)
- Neutron Science (8)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (39)
News Topics
- (-) Big Data (1)
- (-) Clean Water (1)
- (-) Computer Science (16)
- (-) Frontier (1)
- (-) Grid (9)
- (-) Polymers (5)
- 3-D Printing/Advanced Manufacturing (29)
- Advanced Reactors (4)
- Artificial Intelligence (9)
- Bioenergy (15)
- Biology (6)
- Biomedical (3)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (10)
- Climate Change (7)
- Composites (5)
- Coronavirus (4)
- Critical Materials (4)
- Cybersecurity (10)
- Decarbonization (10)
- Energy Storage (26)
- Environment (14)
- Exascale Computing (2)
- Fossil Energy (1)
- Fusion (2)
- High-Performance Computing (3)
- Isotopes (1)
- Machine Learning (7)
- Materials (17)
- Materials Science (12)
- Mercury (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (12)
- Net Zero (1)
- Neutron Science (9)
- Nuclear Energy (5)
- Partnerships (11)
- Physics (2)
- Quantum Science (1)
- Renewable Energy (1)
- Security (6)
- Simulation (1)
- Summit (2)
- Sustainable Energy (24)
- Transformational Challenge Reactor (3)
- Transportation (18)
Media Contacts
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
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.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
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.
Researchers at ORNL recently demonstrated a new technology to better control how power flows to and from commercial buildings equipped with solar, wind or other renewable energy generation.
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.