Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (22)
- Clean Energy (12)
- Computational Biology (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (1)
- Isotopes (4)
- Materials (23)
- Materials for Computing (3)
- National Security (27)
- Neutron Science (10)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (19)
News Type
News Topics
- (-) Biomedical (28)
- (-) Clean Water (14)
- (-) Cybersecurity (14)
- (-) Molten Salt (1)
- (-) Nanotechnology (16)
- (-) National Security (32)
- (-) Physics (25)
- 3-D Printing/Advanced Manufacturing (34)
- Advanced Reactors (7)
- Artificial Intelligence (40)
- Big Data (21)
- Bioenergy (48)
- Biology (56)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Climate Change (46)
- Composites (5)
- Computer Science (78)
- Coronavirus (17)
- Critical Materials (1)
- Decarbonization (43)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (22)
- Fossil Energy (4)
- Frontier (21)
- Fusion (28)
- Grid (22)
- High-Performance Computing (41)
- Hydropower (5)
- Isotopes (24)
- ITER (2)
- Machine Learning (19)
- Materials (39)
- Materials Science (40)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Net Zero (7)
- Neutron Science (45)
- Nuclear Energy (52)
- Partnerships (13)
- Polymers (7)
- Quantum Computing (16)
- Quantum Science (26)
- Renewable Energy (1)
- Security (10)
- Simulation (27)
- Software (1)
- Space Exploration (11)
- Summit (30)
- Sustainable Energy (41)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the facilities will complement each other’s technologies in the pursuit of science despite being nearly 2,500 miles apart.
Nuclear nonproliferation scientists at ORNL have published the Compendium of Uranium Raman and Infrared Experimental Spectra, a public database and analysis of structure-spectral relationships for uranium minerals. This first-of-its-kind dataset and corresponding analysis fill a key gap in the existing body of knowledge for mineralogists and actinide scientists.
SkyNano, an Innovation Crossroads alumnus, held a ribbon-cutting for their new facility. SkyNano exemplifies using DOE resources to build a successful clean energy company, making valuable carbon nanotubes from waste CO2.
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
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.