Filter News
Area of Research
News Type
News Topics
- (-) Computer Science (89)
- (-) Frontier (26)
- (-) Physics (31)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Artificial Intelligence (51)
- Big Data (29)
- 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)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (29)
- Fossil Energy (4)
- Fusion (31)
- Grid (26)
- High-Performance Computing (48)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (44)
- Materials Science (47)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (46)
- Net Zero (8)
- Neutron Science (51)
- Nuclear Energy (56)
- Partnerships (21)
- Polymers (8)
- Quantum Computing (22)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (33)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (31)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
In May, the Department of Energy’s Oak Ridge and Brookhaven national laboratories co-hosted the 15th annual International Particle Accelerator Conference, or IPAC, at the Music City Center in Nashville, Tennessee.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
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.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
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.
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.
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.