Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Computer Science (9)
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (135)
- Clean Energy (164)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (33)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (82)
- Materials for Computing (7)
- Mathematics (1)
- National Security (27)
- Neutron Science (34)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Supercomputing (97)
News Topics
- (-) Artificial Intelligence (6)
- (-) Energy Storage (2)
- (-) Environment (2)
- Big Data (4)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (1)
- Computer Science (15)
- Cybersecurity (1)
- Decarbonization (1)
- Exascale Computing (1)
- Grid (2)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials Science (1)
- Quantum Science (3)
- Summit (1)
- Sustainable Energy (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.
ORNL biogeochemist Elizabeth Herndon is working with colleagues to investigate a piece of the puzzle that has received little attention thus far: the role of manganese in the carbon cycle.
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.
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.
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
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
Oak Ridge National Laboratory is using artificial intelligence to analyze data from published medical studies associated with bullying to reveal the potential of broader impacts, such as mental illness or disease.