Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (31)
- Clean Energy (83)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotopes (5)
- Materials (32)
- Materials for Computing (8)
- National Security (19)
- Neutron Science (22)
- Nuclear Science and Technology (2)
- Supercomputing (81)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (94)
- (-) Big Data (58)
- (-) Biomedical (59)
- (-) Microelectronics (3)
- (-) Quantum Computing (35)
- (-) Software (1)
- (-) Transportation (97)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Bioenergy (92)
- Biology (100)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (66)
- Clean Water (30)
- Climate Change (101)
- Composites (28)
- Computer Science (193)
- Coronavirus (46)
- Critical Materials (28)
- Cybersecurity (35)
- Decarbonization (80)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (109)
- Environment (196)
- Exascale Computing (39)
- Fossil Energy (6)
- Frontier (44)
- Fusion (55)
- Grid (65)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (48)
- Materials (144)
- Materials Science (142)
- Mathematics (9)
- Mercury (12)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (65)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (46)
- Physics (62)
- Polymers (33)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Simulation (49)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (129)
- Transformational Challenge Reactor (7)
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.
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.
Robert Wagner, associate laboratory director for ORNL's Energy Science and Technology Directorate, has been selected to receive the George Westinghouse Gold Medal from the American Society of Mechanical Engineers, or ASME. The award recognizes his work to advance state-of-the-art clean power generation systems through research on combustion, fuel technologies and controls.
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 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.
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.
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.
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.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.