Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (22)
- Clean Energy (72)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (17)
- Materials (43)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (44)
- Nuclear Science and Technology (9)
- Supercomputing (36)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (56)
- (-) Advanced Reactors (13)
- (-) Artificial Intelligence (54)
- (-) Clean Water (14)
- (-) Grid (26)
- (-) Isotopes (35)
- (-) Neutron Science (59)
- (-) Transportation (37)
- Big Data (27)
- Bioenergy (57)
- Biology (65)
- Biomedical (32)
- Biotechnology (11)
- Buildings (24)
- Chemical Sciences (35)
- Climate Change (56)
- Composites (10)
- Computer Science (98)
- Coronavirus (21)
- Critical Materials (3)
- Cybersecurity (20)
- Decarbonization (49)
- Education (1)
- Emergency (2)
- Energy Storage (44)
- Environment (117)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (27)
- Fusion (38)
- High-Performance Computing (54)
- Hydropower (5)
- Irradiation (1)
- ITER (3)
- Machine Learning (24)
- Materials (74)
- Materials Science (65)
- Mathematics (6)
- Mercury (7)
- Microelectronics (2)
- Microscopy (28)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (43)
- Net Zero (9)
- Nuclear Energy (68)
- Partnerships (21)
- Physics (34)
- Polymers (13)
- Quantum Computing (22)
- Quantum Science (34)
- Renewable Energy (1)
- Security (14)
- Simulation (34)
- Software (1)
- Space Exploration (13)
- Statistics (1)
- Summit (32)
- Sustainable Energy (52)
- Transformational Challenge Reactor (4)
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.
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.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
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.
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.
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.
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.