Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Electricity and Smart Grid (3)
- (-) Isotopes (1)
- Advanced Manufacturing (3)
- Biology and Environment (52)
- Biology and Soft Matter (1)
- Clean Energy (77)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (9)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (52)
- Materials for Computing (8)
- Mathematics (1)
- National Security (26)
- Neutron Science (101)
- Nuclear Science and Technology (5)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (65)
News Topics
- (-) Climate Change (1)
- (-) Grid (3)
- (-) Machine Learning (1)
- (-) Neutron Science (1)
- Artificial Intelligence (2)
- Biology (2)
- Biomedical (7)
- Buildings (1)
- Computer Science (2)
- Coronavirus (1)
- Decarbonization (1)
- Energy Storage (2)
- Environment (2)
- Frontier (1)
- High-Performance Computing (3)
- Irradiation (1)
- Isotopes (24)
- Materials (5)
- Materials Science (3)
- Microelectronics (1)
- National Security (1)
- Nuclear Energy (3)
- Security (1)
- Simulation (1)
- Space Exploration (4)
- Summit (1)
- Sustainable Energy (1)
Media Contacts
Researchers at the Department of Energy’s Oak Ridge National Laboratory are supporting the grid by improving its smallest building blocks: power modules that act as digital switches.
Three scientists from the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science, or AAAS.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.