Filter News
Area of Research
- Biology and Environment (18)
- Clean Energy (15)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (20)
- Materials (23)
- Materials for Computing (4)
- National Security (6)
- Neutron Science (9)
- Nuclear Science and Technology (2)
- Supercomputing (27)
News Type
News Topics
- (-) Artificial Intelligence (59)
- (-) Clean Water (15)
- (-) Composites (12)
- (-) Isotopes (39)
- (-) Polymers (13)
- (-) Space Exploration (13)
- 3-D Printing/Advanced Manufacturing (60)
- Advanced Reactors (13)
- Big Data (34)
- Bioenergy (57)
- Biology (67)
- Biomedical (36)
- Biotechnology (12)
- Buildings (30)
- Chemical Sciences (39)
- Climate Change (59)
- Computer Science (105)
- Coronavirus (21)
- Critical Materials (6)
- Cybersecurity (20)
- Decarbonization (50)
- Education (2)
- Emergency (2)
- Energy Storage (45)
- Environment (119)
- Exascale Computing (33)
- Fossil Energy (4)
- Frontier (30)
- Fusion (40)
- Grid (29)
- High-Performance Computing (60)
- Hydropower (5)
- Irradiation (1)
- ITER (3)
- Machine Learning (25)
- Materials (77)
- Materials Science (69)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (28)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (54)
- Net Zero (9)
- Neutron Science (67)
- Nuclear Energy (69)
- Partnerships (27)
- Physics (37)
- Quantum Computing (25)
- Quantum Science (36)
- Renewable Energy (1)
- Security (15)
- Simulation (38)
- Software (1)
- Statistics (1)
- Summit (35)
- Sustainable Energy (56)
- Transformational Challenge Reactor (4)
- Transportation (38)
Media Contacts
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.
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.
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.
Rigoberto “Gobet” Advincula, a scientist with joint appointments at ORNL and the University of Tennessee, has been named a Fellow of the American Institute for Medical and Biological Engineering.
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.
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.
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.