Filter News
Area of Research
- (-) Computer Science (9)
- (-) Functional Materials for Energy (2)
- Advanced Manufacturing (7)
- Biology and Environment (36)
- Clean Energy (160)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fusion and Fission (10)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (106)
- Materials Characterization (1)
- Materials for Computing (18)
- Materials Under Extremes (1)
- National Security (26)
- Neutron Science (43)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (96)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (7)
- (-) Energy Storage (4)
- (-) Grid (3)
- (-) Materials Science (2)
- (-) Summit (1)
- Big Data (4)
- Buildings (2)
- Computer Science (15)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (2)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (3)
- Machine Learning (5)
- Materials (2)
- Quantum Science (3)
- Simulation (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 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.
Materials scientist and chemist Nancy Dudney has been elected to the National Academy of Engineering for her groundbreaking research and development of high-performance solid-state rechargeable batteries.
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 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.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool