Filter News
Area of Research
- Biology and Environment (37)
- Biology and Soft Matter (1)
- Clean Energy (18)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (19)
- Materials (15)
- Materials for Computing (2)
- National Security (13)
- Neutron Science (5)
- Nuclear Science and Technology (2)
- Supercomputing (45)
News Type
News Topics
- (-) Climate Change (52)
- (-) Frontier (26)
- (-) High-Performance Computing (53)
- (-) Isotopes (30)
- (-) Net Zero (7)
- (-) Security (13)
- (-) Space Exploration (12)
- 3-D Printing/Advanced Manufacturing (51)
- Advanced Reactors (12)
- Artificial Intelligence (50)
- Big Data (24)
- Bioenergy (53)
- Biology (62)
- Biomedical (32)
- Biotechnology (10)
- Buildings (22)
- Chemical Sciences (32)
- Clean Water (14)
- Composites (9)
- Computer Science (95)
- Coronavirus (21)
- Critical Materials (2)
- Cybersecurity (20)
- Decarbonization (45)
- Emergency (2)
- Energy Storage (43)
- Environment (113)
- Exascale Computing (26)
- Fossil Energy (4)
- Fusion (36)
- Grid (25)
- Hydropower (5)
- Irradiation (1)
- ITER (3)
- Machine Learning (22)
- Materials (70)
- Materials Science (60)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (27)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (40)
- Neutron Science (57)
- Nuclear Energy (65)
- Partnerships (17)
- Physics (32)
- Polymers (12)
- Quantum Computing (18)
- Quantum Science (30)
- Renewable Energy (1)
- Simulation (33)
- Software (1)
- Summit (32)
- Sustainable Energy (48)
- Transformational Challenge Reactor (4)
- Transportation (34)
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.
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
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.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
Forrest Hoffman, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a senior member of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.