Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (5)
- Clean Energy (14)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (3)
- Materials (7)
- National Security (1)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (8)
- Transportation Systems (1)
News Topics
- (-) Bioenergy (4)
- (-) Computer Science (19)
- (-) Fusion (3)
- (-) Grid (8)
- (-) Machine Learning (5)
- (-) Molten Salt (1)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (8)
- Biology (5)
- Biomedical (3)
- Buildings (8)
- Chemical Sciences (2)
- Clean Water (5)
- Climate Change (3)
- Composites (3)
- Coronavirus (4)
- Critical Materials (3)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (10)
- Environment (11)
- Exascale Computing (1)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- Materials (11)
- Materials Science (12)
- Microscopy (5)
- Nanotechnology (4)
- National Security (3)
- Neutron Science (10)
- Nuclear Energy (9)
- Partnerships (1)
- Physics (3)
- Polymers (2)
- Quantum Science (5)
- Simulation (2)
- Space Exploration (6)
- Summit (3)
- Sustainable Energy (8)
Media Contacts
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.
As scientists study approaches to best sustain a fusion reactor, a team led by Oak Ridge National Laboratory investigated injecting shattered argon pellets into a super-hot plasma, when needed, to protect the reactor’s interior wall from high-energy runaway electrons.
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.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
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.