Filter News
Area of Research
- (-) Clean Energy (22)
- (-) Supercomputing (15)
- Advanced Manufacturing (4)
- Biology and Environment (2)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (1)
- Fusion Energy (6)
- Isotopes (1)
- Materials (20)
- Materials for Computing (1)
- National Security (4)
- Neutron Science (31)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
News Type
News Topics
- (-) Clean Water (3)
- (-) Composites (3)
- (-) Grid (6)
- (-) Machine Learning (6)
- (-) Neutron Science (8)
- (-) Nuclear Energy (4)
- (-) Quantum Science (6)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (2)
- Artificial Intelligence (6)
- Big Data (4)
- Bioenergy (10)
- Biology (1)
- Biomedical (7)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (6)
- Computer Science (30)
- Coronavirus (5)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (13)
- Environment (19)
- Exascale Computing (2)
- Frontier (3)
- Fusion (1)
- High-Performance Computing (1)
- Isotopes (1)
- Materials (2)
- Materials Science (14)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (1)
- Physics (2)
- Polymers (5)
- Security (2)
- Space Exploration (2)
- Summit (13)
- Sustainable Energy (24)
- Transformational Challenge Reactor (2)
- Transportation (15)
Media Contacts
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.
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.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
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.
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.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
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.