
Filter News
Area of Research
- (-) Energy Science (38)
- (-) Fusion Energy (1)
- (-) Neutron Science (19)
- Advanced Manufacturing (2)
- Biology and Environment (31)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Materials (58)
- Materials for Computing (8)
- National Security (31)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Supercomputing (72)
News Topics
- (-) Critical Materials (9)
- (-) Cybersecurity (9)
- (-) Machine Learning (10)
- (-) Mercury (3)
- (-) Nanotechnology (17)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (84)
- Advanced Reactors (13)
- Artificial Intelligence (14)
- Big Data (7)
- Bioenergy (31)
- Biology (18)
- Biomedical (20)
- Biotechnology (5)
- Buildings (38)
- Chemical Sciences (17)
- Clean Water (10)
- Composites (18)
- Computer Science (37)
- Coronavirus (22)
- Energy Storage (74)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (3)
- Frontier (4)
- Fusion (17)
- Grid (39)
- High-Performance Computing (8)
- Hydropower (3)
- Isotopes (1)
- Materials (47)
- Materials Science (50)
- Mathematics (3)
- Microelectronics (1)
- Microscopy (10)
- Molten Salt (1)
- National Security (7)
- Neutron Science (121)
- Nuclear Energy (19)
- Partnerships (12)
- Physics (10)
- Polymers (12)
- Quantum Computing (1)
- Quantum Science (8)
- Security (8)
- Simulation (4)
- Space Exploration (6)
- Statistics (1)
- Transportation (68)
Media Contacts

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.

Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology

A team of researchers has performed the first room-temperature X-ray measurements on the SARS-CoV-2 main protease — the enzyme that enables the virus to reproduce.

A team led by the Department of Energy’s Oak Ridge National Laboratory synthesized a tiny structure with high surface area and discovered how its unique architecture drives ions across interfaces to transport energy or information.

Matthew R. Ryder, a researcher at the Department of Energy’s Oak Ridge National Laboratory, has been named the 2020 Foresight Fellow in Molecular-Scale Engineering.

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.