Filter News
Area of Research
- (-) Computer Science (10)
- (-) Electricity and Smart Grid (3)
- Advanced Manufacturing (1)
- Biology and Environment (102)
- Biology and Soft Matter (1)
- Clean Energy (153)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (2)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Isotopes (1)
- Materials (39)
- Materials for Computing (6)
- Mathematics (1)
- National Security (31)
- Neutron Science (21)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (63)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (7)
- (-) Environment (2)
- (-) Grid (5)
- (-) Machine Learning (5)
- Big Data (4)
- Buildings (2)
- Computer Science (15)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (3)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (2)
- Microelectronics (1)
- Quantum Science (3)
- Simulation (1)
- Summit (1)
- Sustainable Energy (3)
Media Contacts
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
Researchers at the Department of Energy’s Oak Ridge National Laboratory are supporting the grid by improving its smallest building blocks: power modules that act as digital switches.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
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 computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
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