Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (24)
- Clean Energy (28)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (26)
- Materials for Computing (7)
- National Security (10)
- Neutron Science (14)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (56)
News Type
News Topics
- (-) Computer Science (89)
- (-) Energy Storage (30)
- (-) Exascale Computing (31)
- (-) Materials Science (49)
- (-) Mercury (7)
- (-) Polymers (8)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Artificial Intelligence (51)
- Big Data (30)
- Bioenergy (51)
- Biology (60)
- Biomedical (31)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (27)
- Clean Water (15)
- Climate Change (52)
- Composites (8)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Environment (105)
- Fossil Energy (4)
- Frontier (27)
- Fusion (31)
- Grid (26)
- High-Performance Computing (49)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (46)
- Mathematics (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (47)
- Net Zero (8)
- Neutron Science (53)
- Nuclear Energy (56)
- Partnerships (21)
- Physics (31)
- Quantum Computing (23)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (34)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
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.
The new section of tunnel will provide the turning and connecting point for the accelerator beamline between the existing particle accelerator at ORNL’s Spallation Neutron Source and the planned Second Target Station, or STS. When complete, the PPU project will increase accelerator power up to 2.8 megawatts from its current record-breaking 1.7 megawatts of beam power.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
Scientists at ORNL have developed a method that demonstrates how fiber-reinforced polymer composite materials used in the automotive, aerospace and renewable energy industries can be made stronger and tougher to better withstand mechanical or structural stresses over time.
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.