Filter News
Area of Research
- Biology and Environment (20)
- Building Technologies (1)
- Clean Energy (45)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Fusion and Fission (18)
- Fusion Energy (3)
- Isotopes (19)
- Materials (25)
- Materials for Computing (6)
- Mathematics (1)
- National Security (11)
- Neutron Science (12)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (43)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (34)
- (-) Biomedical (21)
- (-) Computer Science (67)
- (-) Critical Materials (11)
- (-) Fusion (21)
- (-) Isotopes (29)
- (-) Security (13)
- (-) Transportation (46)
- 3-D Printing/Advanced Manufacturing (51)
- Advanced Reactors (6)
- Big Data (16)
- Bioenergy (37)
- Biology (53)
- Biotechnology (11)
- Buildings (27)
- Chemical Sciences (31)
- Clean Water (14)
- Climate Change (43)
- Composites (15)
- Coronavirus (14)
- Cybersecurity (17)
- Decarbonization (37)
- Education (3)
- Emergency (1)
- Energy Storage (45)
- Environment (85)
- Exascale Computing (17)
- Fossil Energy (2)
- Frontier (23)
- Grid (30)
- High-Performance Computing (52)
- Hydropower (3)
- Irradiation (2)
- ITER (4)
- Machine Learning (16)
- Materials (91)
- Materials Science (48)
- Mathematics (3)
- Mercury (6)
- Microelectronics (2)
- Microscopy (22)
- Molten Salt (5)
- Nanotechnology (26)
- National Security (28)
- Net Zero (6)
- Neutron Science (58)
- Nuclear Energy (37)
- Partnerships (24)
- Physics (26)
- Polymers (14)
- Quantum Computing (17)
- Quantum Science (24)
- Renewable Energy (2)
- Simulation (29)
- Software (1)
- Space Exploration (10)
- Statistics (1)
- Summit (20)
- Sustainable Energy (52)
Media Contacts
Oak Ridge National Laboratory researchers have identified the most energy-efficient 2024 model year vehicles available in the United States, including electric and hybrids, in the latest edition of the Department of Energy’s Fuel Economy Guide.
It would be a challenge for any scientist to match Alexey Serov’s rate of inventions related to green hydrogen fuel. But this researcher at ORNL has 84 patents with at least 35 more under review, so his electrifying pace is unlikely to slow down any time soon.
The U.S. Department of Energy’s Oak Ridge Leadership Computing Facility has informed the recipients of high-performance computing time through the SummitPLUS allocation program, which extends the operation of the Summit supercomputer through October 2024.
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
A team of researchers from the University of Southern California, the Renaissance Computing Institute at the University of North Carolina, and Oak Ridge, Lawrence Berkeley and Argonne National Laboratories have received a grant from the U.S. Department of Energy to develop the fundamentals of a computational platform that is fault tolerant, robust to various environmental conditions and adaptive to workloads and resource availability.
Despite its futuristic essence, artificial intelligence has a history that can be traced through several decades, and the ORNL has played a major role. From helping to drive fundamental and applied AI research from the field’s early days focused on expert systems, computer programs that rely on AI, to more recent developments in deep learning, a form of AI that enables machines to make evidence-based decisions, the lab’s AI research spans the spectrum.