Filter News
Area of Research
News Type
News Topics
- (-) Big Data (7)
- (-) Bioenergy (8)
- (-) Chemical Sciences (3)
- (-) Energy Storage (18)
- (-) Machine Learning (3)
- (-) Mercury (1)
- (-) Quantum Science (4)
- (-) Summit (5)
- 3-D Printing/Advanced Manufacturing (19)
- Advanced Reactors (7)
- Artificial Intelligence (4)
- Biology (14)
- Biomedical (11)
- Biotechnology (3)
- Buildings (7)
- Clean Water (6)
- Climate Change (14)
- Composites (3)
- Computer Science (18)
- Coronavirus (11)
- Critical Materials (2)
- Cybersecurity (2)
- Decarbonization (3)
- Environment (33)
- Exascale Computing (1)
- Frontier (1)
- Fusion (8)
- Grid (11)
- High-Performance Computing (9)
- Isotopes (7)
- ITER (3)
- Materials (17)
- Materials Science (17)
- Mathematics (2)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (2)
- Net Zero (1)
- Neutron Science (12)
- Nuclear Energy (10)
- Physics (8)
- Polymers (3)
- Quantum Computing (1)
- Security (2)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (34)
- Transportation (17)
Media Contacts
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.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.
Oak Ridge National Laboratory researchers created a geothermal energy storage system that could reduce peak electricity demand up to 37% in homes while helping balance grid operations.
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.