Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (17)
- Clean Energy (56)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion Energy (1)
- Isotopes (1)
- Materials (18)
- Materials for Computing (7)
- Mathematics (1)
- National Security (4)
- Neutron Science (5)
- Quantum information Science (1)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (10)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (13)
- (-) Climate Change (22)
- (-) Grid (20)
- (-) Hydropower (6)
- (-) Machine Learning (10)
- (-) Materials (35)
- (-) Mercury (3)
- (-) Summit (6)
- (-) Transportation (35)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Big Data (16)
- Bioenergy (15)
- Biology (17)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (9)
- Clean Water (13)
- Composites (9)
- Computer Science (39)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (8)
- Energy Storage (31)
- Environment (43)
- Exascale Computing (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (11)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials Science (33)
- Mathematics (1)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (1)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Sustainable Energy (44)
Media Contacts
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.
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.
ORNL researchers created and tested new wireless charging designs that may double the power density, resulting in a lighter weight system compared with existing technologies.
Researchers at Oak Ridge National Laboratory proved that a certain class of ionic liquids, when mixed with commercially available oils, can make gears run more efficiently with less noise and better durability.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A team of researchers at Oak Ridge National Laboratory have demonstrated that designed synthetic polymers can serve as a high-performance binding material for next-generation lithium-ion batteries.
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool