Filter News
Area of Research
News Topics
- (-) High-Performance Computing (44)
- (-) Molten Salt (1)
- (-) Nanotechnology (16)
- 3-D Printing/Advanced Manufacturing (41)
- Advanced Reactors (8)
- Artificial Intelligence (48)
- Big Data (26)
- Bioenergy (51)
- Biology (60)
- Biomedical (29)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (25)
- Clean Water (14)
- Climate Change (50)
- Composites (8)
- Computer Science (86)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Environment (104)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (24)
- Fusion (31)
- Grid (25)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (45)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- National Security (39)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (18)
- Physics (29)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (30)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
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.
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.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
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.
SkyNano, an Innovation Crossroads alumnus, held a ribbon-cutting for their new facility. SkyNano exemplifies using DOE resources to build a successful clean energy company, making valuable carbon nanotubes from waste CO2.
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
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.