Filter News
Area of Research
- (-) National Security (4)
- (-) Supercomputing (10)
- (-) Transportation Systems (2)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Clean Energy (55)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (13)
- Materials for Computing (1)
- Mathematics (1)
- Neutron Science (3)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Sensors and Controls (1)
News Topics
- (-) Critical Materials (3)
- (-) Environment (4)
- (-) Grid (2)
- (-) Machine Learning (1)
- (-) Space Exploration (1)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (7)
- Artificial Intelligence (1)
- Big Data (5)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (18)
- Coronavirus (3)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (2)
- Exascale Computing (1)
- Frontier (1)
- Fusion (6)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (4)
- Nanotechnology (1)
- Nuclear Energy (6)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Security (1)
- Simulation (1)
- Summit (6)
- Sustainable Energy (2)
Media Contacts
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
Critical Materials Institute researchers at Oak Ridge National Laboratory and Arizona State University studied the mineral monazite, an important source of rare-earth elements, to enhance methods of recovering critical materials for energy, defense and manufacturing applications.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
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
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.
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.
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.
Using the Titan supercomputer at Oak Ridge National Laboratory, a team of astrophysicists created a set of galactic wind simulations of the highest resolution ever performed. The simulations will allow researchers to gather and interpret more accurate, detailed data that elucidates how galactic winds affect the formation and evolution of galaxies.