Filter News
Area of Research
- (-) Fusion and Fission (2)
- (-) National Security (9)
- Biology and Environment (31)
- Biology and Soft Matter (1)
- Clean Energy (11)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Isotopes (2)
- Materials (13)
- Materials for Computing (2)
- Neutron Science (5)
- Supercomputing (12)
News Topics
- (-) Artificial Intelligence (3)
- (-) Big Data (2)
- (-) Cybersecurity (5)
- (-) Environment (2)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (8)
- Coronavirus (1)
- Decarbonization (2)
- Energy Storage (3)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (6)
- Grid (4)
- High-Performance Computing (1)
- ITER (2)
- Machine Learning (4)
- Materials (1)
- Materials Science (2)
- National Security (13)
- Neutron Science (2)
- Nuclear Energy (8)
- Partnerships (2)
- Physics (2)
- Security (4)
- Simulation (1)
- Summit (1)
- Sustainable Energy (4)
- Transportation (1)
Media Contacts
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 in the geothermal energy industry are joining forces with fusion experts at ORNL to repurpose gyrotron technology, a tool used in fusion. Gyrotrons produce high-powered microwaves to heat up fusion plasmas.
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.