Filter News
Area of Research
- (-) Clean Energy (81)
- (-) National Security (19)
- Advanced Manufacturing (6)
- Biology and Environment (48)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (96)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- Neutron Science (34)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (70)
- Transportation Systems (2)
News Topics
- (-) Advanced Reactors (7)
- (-) Decarbonization (34)
- (-) Machine Learning (18)
- (-) Materials Science (29)
- (-) Mercury (3)
- (-) Polymers (11)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (80)
- Artificial Intelligence (19)
- Big Data (11)
- Bioenergy (28)
- Biology (14)
- Biomedical (7)
- Biotechnology (5)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (25)
- Composites (17)
- Computer Science (41)
- Coronavirus (14)
- Critical Materials (9)
- Cybersecurity (25)
- Energy Storage (72)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (2)
- Grid (44)
- High-Performance Computing (10)
- Hydropower (2)
- Isotopes (1)
- Materials (36)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (9)
- National Security (36)
- Net Zero (3)
- Neutron Science (15)
- Nuclear Energy (11)
- Partnerships (15)
- Physics (2)
- Quantum Science (3)
- Renewable Energy (1)
- Security (15)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
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
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.
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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
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.
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
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