Filter News
Area of Research
- (-) Clean Energy (22)
- (-) Supercomputing (8)
- Advanced Manufacturing (1)
- Biology and Environment (3)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (8)
- Materials for Computing (1)
- National Security (3)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Fusion (1)
- (-) Grid (15)
- (-) Machine Learning (3)
- (-) Polymers (7)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (1)
- Artificial Intelligence (2)
- Big Data (5)
- Bioenergy (2)
- Biology (3)
- Biomedical (5)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (2)
- Clean Water (4)
- Climate Change (7)
- Composites (9)
- Computer Science (23)
- Coronavirus (4)
- Critical Materials (7)
- Decarbonization (4)
- Energy Storage (22)
- Environment (17)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (3)
- Hydropower (2)
- Materials (13)
- Materials Science (10)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (2)
- Net Zero (1)
- Nuclear Energy (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (28)
- Transportation (26)
Media Contacts
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
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.
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.
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.