Filter News
Area of Research
News Topics
- (-) Computer Science (14)
- (-) Cybersecurity (5)
- (-) Microscopy (2)
- (-) Physics (2)
- (-) Security (4)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (9)
- Big Data (4)
- Bioenergy (3)
- Biology (7)
- Biomedical (4)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (7)
- Coronavirus (4)
- Critical Materials (1)
- Decarbonization (2)
- Energy Storage (3)
- Environment (4)
- Exascale Computing (6)
- Frontier (7)
- Grid (5)
- High-Performance Computing (9)
- Machine Learning (8)
- Materials (8)
- Materials Science (5)
- Nanotechnology (3)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Quantum Computing (7)
- Quantum Science (4)
- Simulation (5)
- Summit (7)
- Sustainable Energy (2)
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.
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
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.
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.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
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.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.