Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (34)
- Clean Energy (63)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fusion and Fission (4)
- Isotopes (4)
- Materials (23)
- Materials for Computing (6)
- National Security (20)
- Neutron Science (19)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (54)
News Type
News Topics
- (-) Biomedical (47)
- (-) Clean Water (17)
- (-) Composites (19)
- (-) Cybersecurity (31)
- (-) Summit (52)
- (-) Transportation (57)
- 3-D Printing/Advanced Manufacturing (89)
- Advanced Reactors (19)
- Artificial Intelligence (80)
- Big Data (37)
- Bioenergy (75)
- Biology (82)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (56)
- Climate Change (76)
- Computer Science (150)
- Coronavirus (35)
- Critical Materials (16)
- Decarbonization (69)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (77)
- Environment (145)
- Exascale Computing (36)
- Fossil Energy (5)
- Frontier (41)
- Fusion (46)
- Grid (42)
- High-Performance Computing (73)
- Hydropower (5)
- Isotopes (46)
- ITER (4)
- Machine Learning (36)
- Materials (101)
- Materials Science (105)
- Mathematics (7)
- Mercury (9)
- Microelectronics (3)
- Microscopy (39)
- Molten Salt (3)
- Nanotechnology (46)
- National Security (61)
- Net Zero (11)
- Neutron Science (99)
- Nuclear Energy (86)
- Partnerships (47)
- Physics (59)
- Polymers (23)
- Quantum Computing (30)
- Quantum Science (57)
- Renewable Energy (2)
- Security (23)
- Simulation (40)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Sustainable Energy (80)
- Transformational Challenge Reactor (7)
Media Contacts
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.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
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 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.
ORNL and Caterpillar Inc. have entered into a cooperative research and development agreement, or CRADA, to investigate using methanol as an alternative fuel source for four-stroke internal combustion marine engines.
Within the Department of Energy’s National Transportation Research Center at ORNL’s Hardin Valley Campus, scientists investigate engines designed to help the U.S. pivot to a clean mobility future.