Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Clean Energy (53)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (2)
- Materials (27)
- Materials for Computing (5)
- National Security (16)
- Neutron Science (13)
- Nuclear Science and Technology (18)
- Quantum information Science (2)
- Supercomputing (61)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (38)
- (-) Big Data (23)
- (-) Bioenergy (51)
- (-) Composites (6)
- (-) Computer Science (82)
- (-) Environment (103)
- (-) Frontier (24)
- (-) Molten Salt (1)
- (-) Nuclear Energy (54)
- (-) Polymers (8)
- Advanced Reactors (8)
- Artificial Intelligence (46)
- Biology (59)
- Biomedical (28)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (23)
- Clean Water (14)
- Climate Change (49)
- Coronavirus (17)
- Critical Materials (2)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Exascale Computing (25)
- Fossil Energy (4)
- Fusion (30)
- Grid (23)
- High-Performance Computing (43)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (45)
- Mathematics (6)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Nanotechnology (16)
- National Security (35)
- Net Zero (8)
- Neutron Science (47)
- Partnerships (16)
- Physics (28)
- Quantum Computing (20)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (30)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (30)
- Sustainable Energy (44)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
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.
Researchers at ORNL became the first to 3D-print large rotating steam turbine blades for generating energy in power plants.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Scientists from more than a dozen institutions have completed a first-of-its-kind high-resolution assessment of carbon dioxide removal potential in the United States, charting a path to achieve a net-zero greenhouse gas economy by 2050.
Nuclear engineering students from the United States Military Academy and United States Naval Academy are working with researchers at ORNL to complete design concepts for a nuclear propulsion rocket to go to space in 2027 as part of the Defense Advanced Research Projects Agency DRACO program.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.