Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Clean Energy (57)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (7)
- Materials (52)
- Materials for Computing (8)
- National Security (20)
- Neutron Science (17)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (65)
News Topics
- (-) Advanced Reactors (34)
- (-) Artificial Intelligence (90)
- (-) Education (4)
- (-) Grid (61)
- (-) ITER (7)
- (-) Nanotechnology (60)
- (-) Quantum Computing (31)
- 3-D Printing/Advanced Manufacturing (119)
- Big Data (51)
- Bioenergy (90)
- Biology (97)
- Biomedical (58)
- Biotechnology (22)
- Buildings (56)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (97)
- Composites (25)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (51)
- Machine Learning (47)
- Materials (142)
- Materials Science (137)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (32)
- Quantum Science (66)
- Renewable Energy (2)
- Security (24)
- Simulation (45)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (123)
- Transformational Challenge Reactor (7)
- Transportation (95)
Media Contacts
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
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.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
A group of high school graduates and community college students visited ORNL to meet staff and find out just what goes on at a DOE national laboratory. The Job Shadow Day was arranged by tnAchieves, a student support organization that works to increase higher educational opportunities for students across Tennessee through scholarships and mentorship.
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.
Researchers at ORNL are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide.
A team of researchers including a member of the Quantum Science Center at ORNL has published a review paper on the state of the field of Majorana research. The paper primarily describes four major platforms that are capable of hosting these particles, as well as the progress made over the past decade in this area.
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.
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.
Joseph Chapman, a research scientist in quantum communications at ORNL, was given the Physical Review Applied Reviewer Excellence 2024 award for his work as a peer reviewer for the journal Physical Review Applied.