Filter News
Area of Research
- (-) Computer Science (11)
- (-) Mathematics (1)
- (-) Transportation Systems (3)
- Advanced Manufacturing (15)
- Biological Systems (2)
- Biology and Environment (32)
- Building Technologies (8)
- Chemical and Engineering Materials (1)
- Clean Energy (159)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Fossil Energy (1)
- Fusion and Fission (4)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (78)
- Materials for Computing (10)
- National Security (8)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (38)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (3)
- Renewable Energy (2)
- Sensors and Controls (2)
- Supercomputing (43)
News Type
News Topics
- Artificial Intelligence (4)
- Big Data (3)
- Buildings (1)
- Clean Water (1)
- Climate Change (1)
- Computer Science (11)
- Decarbonization (1)
- Energy Storage (1)
- Environment (2)
- Grid (2)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials Science (1)
- Mathematics (1)
- Quantum Science (1)
- Sustainable Energy (2)
- Transportation (2)
Media Contacts
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
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.
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
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.
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.
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