Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Computer Science (10)
- (-) Electricity and Smart Grid (3)
- Advanced Manufacturing (11)
- Biology and Environment (46)
- Building Technologies (2)
- Clean Energy (125)
- Computational Biology (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (102)
- Materials Characterization (1)
- Materials for Computing (19)
- Materials Under Extremes (1)
- National Security (23)
- Neutron Science (30)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (61)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (7)
- (-) Grid (5)
- (-) Materials Science (2)
- (-) Sustainable Energy (3)
- Big Data (4)
- Biomedical (1)
- Buildings (2)
- Clean Water (1)
- Climate Change (1)
- Computer Science (17)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (4)
- Machine Learning (5)
- Materials (1)
- Mathematics (1)
- Microelectronics (1)
- Quantum Science (3)
- Simulation (1)
- Summit (2)
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
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
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.
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.