Filter News
Area of Research
- Advanced Manufacturing (11)
- Biology and Environment (7)
- Building Technologies (1)
- Clean Energy (64)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion Energy (2)
- Isotopes (3)
- Materials (28)
- Materials for Computing (6)
- National Security (4)
- Neutron Science (6)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (31)
- (-) Biomedical (11)
- (-) Composites (9)
- (-) Cybersecurity (3)
- (-) Exascale Computing (1)
- (-) Grid (21)
- (-) Isotopes (5)
- (-) Machine Learning (11)
- (-) Materials Science (34)
- (-) Physics (4)
- (-) Security (1)
- (-) Transportation (35)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (10)
- Clean Water (13)
- Climate Change (22)
- Computer Science (40)
- Coronavirus (11)
- Critical Materials (12)
- Decarbonization (9)
- Energy Storage (31)
- Environment (43)
- Fossil Energy (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- ITER (3)
- Materials (35)
- Mathematics (2)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
Media Contacts
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.
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.
Oak Ridge National Laboratory researchers have discovered a better way to separate actinium-227, a rare isotope essential for an FDA-approved cancer treatment.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
Scientists at Oak Ridge National Laboratory used a focused beam of electrons to stitch platinum-silicon molecules into graphene, marking the first deliberate insertion of artificial molecules into a graphene host matrix.
Researchers at ORNL demonstrated that sodium-ion batteries can serve as a low-cost, high performance substitute for rechargeable lithium-ion batteries commonly used in robotics, power tools, and grid-scale energy storage.
Oak Ridge National Laboratory will partner with Cincinnati Children’s Hospital Medical Center to explore ways to deploy expertise in health data science that could more quickly identify patients’ mental health risk factors and aid in