Filter News
Area of Research
- (-) Computational Biology (2)
- (-) Computer Science (10)
- Advanced Manufacturing (6)
- Biological Systems (1)
- Biology and Environment (115)
- Biology and Soft Matter (1)
- Clean Energy (130)
- Climate and Environmental Systems (5)
- Computational Engineering (3)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (8)
- Materials (118)
- Materials Characterization (1)
- Materials for Computing (16)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (31)
- Neutron Science (43)
- Nuclear Science and Technology (6)
- Quantum information Science (3)
- Sensors and Controls (2)
- Supercomputing (82)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (7)
- (-) Biomedical (2)
- (-) Environment (1)
- (-) Grid (2)
- (-) Materials Science (1)
- Big Data (4)
- Biology (2)
- Buildings (1)
- Computer Science (16)
- Coronavirus (1)
- Cybersecurity (1)
- Energy Storage (2)
- Exascale Computing (1)
- High-Performance Computing (4)
- Machine Learning (4)
- Neutron Science (1)
- Quantum Science (3)
- Summit (2)
- 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.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
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.