Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (38)
- Clean Energy (54)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (23)
- Materials (51)
- Materials for Computing (13)
- National Security (36)
- Neutron Science (20)
- Nuclear Science and Technology (7)
- Quantum information Science (4)
- Supercomputing (102)
News Type
News Topics
- (-) Computer Science (137)
- (-) Cybersecurity (31)
- (-) Element Discovery (1)
- (-) Grid (38)
- (-) Isotopes (42)
- (-) Machine Learning (34)
- (-) Microscopy (36)
- (-) Polymers (20)
- (-) Space Exploration (15)
- (-) Summit (50)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (18)
- Artificial Intelligence (74)
- Big Data (29)
- Bioenergy (73)
- Biology (79)
- Biomedical (45)
- Biotechnology (17)
- Buildings (30)
- Chemical Sciences (50)
- Clean Water (15)
- Climate Change (69)
- Composites (15)
- Coronavirus (34)
- Critical Materials (12)
- Decarbonization (61)
- Education (4)
- Emergency (2)
- Energy Storage (69)
- Environment (136)
- Exascale Computing (33)
- Fossil Energy (5)
- Frontier (37)
- Fusion (41)
- High-Performance Computing (68)
- Hydropower (5)
- ITER (4)
- Materials (99)
- Materials Science (92)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (51)
- Net Zero (11)
- Neutron Science (95)
- Nuclear Energy (77)
- Partnerships (41)
- Physics (50)
- Quantum Computing (27)
- Quantum Science (54)
- Renewable Energy (2)
- Security (21)
- Simulation (37)
- Software (1)
- Statistics (2)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (51)
Media Contacts
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
Since 2019, a team of NASA scientists and their partners have been using NASA’s FUN3D software on supercomputers located at the Department of Energy’s Oak Ridge Leadership Computing Facility to conduct computational fluid dynamics simulations of a human-scale Mars lander. The team’s ongoing research project is a first step in determining how to safely land a vehicle with humans onboard onto the surface of Mars.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
A key industrial isotope, iridium-192, has not been produced in the U.S. in almost 20 years. DOE's Isotope Program and QSA Global Inc. announced a joint product development agreement to initiate U.S. production of iridium-192.
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.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
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.