Filter News
Area of Research
- (-) Computer Science (1)
- (-) Neutron Science (4)
- Advanced Manufacturing (1)
- Biology and Environment (3)
- Clean Energy (30)
- Fusion and Fission (2)
- Fusion Energy (4)
- Isotopes (3)
- Materials (13)
- Materials for Computing (2)
- National Security (6)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (12)
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (1)
- (-) Grid (1)
- (-) Microscopy (1)
- (-) Security (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (1)
- Bioenergy (3)
- Biomedical (5)
- Climate Change (1)
- Computer Science (7)
- Coronavirus (5)
- Energy Storage (2)
- Environment (2)
- Machine Learning (1)
- Materials Science (9)
- Mathematics (1)
- Nanotechnology (5)
- National Security (1)
- Neutron Science (25)
- Nuclear Energy (1)
- Physics (2)
- Polymers (1)
- Quantum Science (3)
- Summit (5)
- Transportation (1)
Media Contacts
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
The Department of Energy’s Office of Science has selected three Oak Ridge National Laboratory scientists for Early Career Research Program awards.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
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.