Filter News
Area of Research
- (-) Fusion Energy (3)
- (-) Materials for Computing (2)
- (-) National Security (15)
- Advanced Manufacturing (5)
- Biology and Environment (33)
- Biology and Soft Matter (1)
- Clean Energy (54)
- Climate and Environmental Systems (1)
- Computer Science (2)
- Fusion and Fission (18)
- Isotopes (4)
- Materials (29)
- Neutron Science (10)
- Nuclear Science and Technology (16)
- Quantum information Science (1)
- Supercomputing (21)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Advanced Reactors (1)
- (-) Cybersecurity (8)
- (-) Environment (2)
- (-) Fusion (3)
- (-) Machine Learning (6)
- (-) Nuclear Energy (3)
- (-) Space Exploration (1)
- Artificial Intelligence (5)
- Big Data (3)
- Bioenergy (2)
- Biology (4)
- Biomedical (3)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (15)
- Coronavirus (1)
- Decarbonization (1)
- Energy Storage (4)
- Exascale Computing (1)
- Frontier (1)
- Grid (3)
- High-Performance Computing (1)
- Materials (4)
- Materials Science (8)
- Microscopy (1)
- Nanotechnology (3)
- National Security (15)
- Neutron Science (5)
- Partnerships (1)
- Physics (1)
- Polymers (2)
- Quantum Science (1)
- Security (8)
- Simulation (1)
- Summit (2)
- Sustainable Energy (3)
- Transportation (3)
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.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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.
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
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.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.