Filter News
Area of Research
- (-) Clean Energy (5)
- Biology and Environment (2)
- Computer Science (1)
- Fusion and Fission (1)
- Fusion Energy (4)
- Isotopes (1)
- Materials (2)
- Materials for Computing (1)
- National Security (4)
- Neutron Science (3)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (8)
News Topics
- (-) Computer Science (3)
- (-) Machine Learning (3)
- (-) Molten Salt (1)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Big Data (2)
- Biology (1)
- Biomedical (1)
- Chemical Sciences (2)
- Climate Change (4)
- Coronavirus (2)
- Energy Storage (9)
- Environment (10)
- Grid (3)
- High-Performance Computing (1)
- Isotopes (1)
- Materials (2)
- Materials Science (4)
- Microscopy (1)
- Nanotechnology (3)
- Neutron Science (1)
- Physics (1)
- Polymers (2)
- Sustainable Energy (11)
- Transportation (6)
Media Contacts
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.