Filter News
Area of Research
- (-) Clean Energy (33)
- (-) Fusion and Fission (2)
- (-) Neutron Science (3)
- Advanced Manufacturing (4)
- Biology and Environment (6)
- Building Technologies (1)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion Energy (6)
- Materials (20)
- Materials for Computing (7)
- Mathematics (1)
- National Security (4)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (17)
- Transportation Systems (1)
News Topics
- (-) Computer Science (9)
- (-) Fusion (2)
- (-) Grid (15)
- (-) Machine Learning (2)
- (-) Materials Science (12)
- 3-D Printing/Advanced Manufacturing (23)
- Advanced Reactors (1)
- Artificial Intelligence (2)
- Big Data (1)
- Bioenergy (3)
- Biology (2)
- Biomedical (3)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (3)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Coronavirus (2)
- Critical Materials (5)
- Decarbonization (4)
- Energy Storage (24)
- Environment (16)
- High-Performance Computing (1)
- Hydropower (2)
- ITER (2)
- Materials (15)
- Mathematics (1)
- Mercury (1)
- Microscopy (3)
- Nanotechnology (2)
- Net Zero (1)
- Neutron Science (23)
- Nuclear Energy (2)
- Physics (1)
- Polymers (5)
- Quantum Science (1)
- Simulation (1)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (27)
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 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.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.