Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (65)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (6)
- Isotopes (1)
- Materials (34)
- Materials for Computing (4)
- National Security (12)
- Neutron Science (15)
- Nuclear Science and Technology (4)
- Supercomputing (65)
News Type
News Topics
- (-) Artificial Intelligence (51)
- (-) Composites (8)
- (-) Environment (105)
- (-) Exascale Computing (29)
- (-) Frontier (26)
- (-) Materials Science (47)
- (-) Molten Salt (1)
- (-) Physics (31)
- (-) Summit (31)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Big Data (29)
- Bioenergy (51)
- Biology (60)
- Biomedical (31)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (27)
- Clean Water (15)
- Climate Change (52)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Fossil Energy (4)
- Fusion (31)
- Grid (26)
- High-Performance Computing (48)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (44)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- 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)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
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.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
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.