Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (27)
- Clean Energy (30)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (36)
- Materials for Computing (6)
- National Security (31)
- Neutron Science (15)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Supercomputing (66)
News Topics
- (-) Cybersecurity (35)
- (-) Machine Learning (43)
- (-) Microscopy (50)
- (-) Space Exploration (24)
- (-) Summit (57)
- 3-D Printing/Advanced Manufacturing (116)
- Advanced Reactors (33)
- Artificial Intelligence (83)
- Big Data (49)
- Bioenergy (88)
- Biology (95)
- Biomedical (57)
- Biotechnology (21)
- Buildings (54)
- Chemical Sciences (59)
- Clean Water (29)
- Climate Change (93)
- Composites (25)
- Computer Science (181)
- Coronavirus (46)
- Critical Materials (24)
- Decarbonization (73)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (106)
- Environment (191)
- Exascale Computing (34)
- Fossil Energy (5)
- Frontier (39)
- Fusion (52)
- Grid (59)
- High-Performance Computing (81)
- Hydropower (11)
- Irradiation (3)
- Isotopes (46)
- ITER (7)
- Materials (140)
- Materials Science (133)
- Mathematics (6)
- Mercury (12)
- Microelectronics (2)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (55)
- Net Zero (11)
- Neutron Science (128)
- Nuclear Energy (103)
- Partnerships (40)
- Physics (58)
- Polymers (31)
- Quantum Computing (28)
- Quantum Science (65)
- Renewable Energy (2)
- Security (23)
- Simulation (43)
- Software (1)
- Statistics (2)
- Sustainable Energy (119)
- Transformational Challenge Reactor (7)
- Transportation (93)
Media Contacts
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
College intern Noah Miller is on his 3rd consecutive internship at ORNL, currently working on developing an automated pellet inspection system for Oak Ridge National Laboratory’s Plutonium-238 Supply Program. Along with his success at ORNL, Miller is also focusing on becoming a mentor for kids, giving back to the place where he discovered his passion and developed his skills.
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.
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.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
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.
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%.