Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (102)
- Biology and Soft Matter (1)
- Clean Energy (60)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Fusion and Fission (4)
- Isotopes (1)
- Materials (29)
- Materials for Computing (4)
- National Security (13)
- Neutron Science (15)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
- Supercomputing (82)
News Type
News Topics
- (-) Big Data (27)
- (-) Bioenergy (68)
- (-) Composites (13)
- (-) Environment (130)
- (-) Frontier (33)
- (-) Molten Salt (3)
- (-) Summit (49)
- 3-D Printing/Advanced Manufacturing (73)
- Advanced Reactors (16)
- Artificial Intelligence (63)
- Biology (73)
- Biomedical (43)
- Biotechnology (15)
- Buildings (26)
- Chemical Sciences (44)
- Clean Water (15)
- Climate Change (64)
- Computer Science (131)
- Coronavirus (34)
- Critical Materials (11)
- Cybersecurity (31)
- Decarbonization (54)
- Education (3)
- Element Discovery (1)
- Emergency (1)
- Energy Storage (67)
- Exascale Computing (30)
- Fossil Energy (4)
- Fusion (40)
- Grid (34)
- High-Performance Computing (63)
- Hydropower (5)
- Isotopes (39)
- ITER (4)
- Machine Learning (31)
- Materials (92)
- Materials Science (83)
- Mathematics (4)
- Mercury (9)
- Microelectronics (2)
- Microscopy (35)
- Nanotechnology (42)
- National Security (45)
- Net Zero (8)
- Neutron Science (90)
- Nuclear Energy (74)
- Partnerships (34)
- Physics (49)
- Polymers (19)
- Quantum Computing (23)
- Quantum Science (48)
- Renewable Energy (2)
- Security (21)
- Simulation (31)
- Software (1)
- Space Exploration (14)
- Sustainable Energy (66)
- Transformational Challenge Reactor (7)
- Transportation (48)
Media Contacts
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.
Astrophysicists at the State University of New York, Stony Brook and University of California, Berkeley, used the Oak Ridge Leadership Computing Facility’s Summit supercomputer to compare models of X-ray bursts in 2D and 3D.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
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.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
Researchers at the Statewide California Earthquake Center are unraveling the mysteries of earthquakes by using physics-based computational models running on high-performance computing systems at ORNL. The team’s findings will provide a better understanding of seismic hazards in the Golden State.
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.
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%.