Filter News
Area of Research
- (-) Clean Energy (170)
- Advanced Manufacturing (14)
- Biology and Environment (95)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (34)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (144)
- Materials Characterization (1)
- Materials for Computing (23)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (31)
- Neutron Science (109)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (86)
- Transportation Systems (1)
News Topics
- (-) Clean Water (8)
- (-) Climate Change (21)
- (-) Composites (17)
- (-) Grid (40)
- (-) Machine Learning (7)
- (-) Materials Science (26)
- (-) Mercury (3)
- (-) Nanotechnology (8)
- (-) Neutron Science (11)
- (-) Nuclear Energy (7)
- (-) Quantum Science (2)
- (-) Sustainable Energy (69)
- 3-D Printing/Advanced Manufacturing (78)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (6)
- Hydropower (2)
- Isotopes (1)
- Materials (35)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- National Security (5)
- Net Zero (3)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Summit (4)
- Transformational Challenge Reactor (3)
- Transportation (65)
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 scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
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.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.
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
Burak Ozpineci of the Electrical and Electronics Systems Research Division at Oak Ridge National Laboratory has won the 2020 IEEE Power Electronics Society Vehicle and Transportation Systems Achievement Award.
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.