Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (26)
- Clean Energy (42)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (5)
- Materials (36)
- Materials for Computing (4)
- National Security (18)
- Neutron Science (16)
- Nuclear Science and Technology (7)
- Supercomputing (39)
News Type
News Topics
- (-) Advanced Reactors (13)
- (-) Artificial Intelligence (59)
- (-) Biomedical (36)
- (-) Clean Water (15)
- (-) Cybersecurity (20)
- (-) Physics (37)
- (-) Security (15)
- (-) Transportation (38)
- 3-D Printing/Advanced Manufacturing (60)
- Big Data (34)
- Bioenergy (57)
- Biology (67)
- Biotechnology (12)
- Buildings (30)
- Chemical Sciences (39)
- Climate Change (59)
- Composites (12)
- Computer Science (105)
- Coronavirus (21)
- Critical Materials (6)
- 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)
- Isotopes (39)
- 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)
- Polymers (13)
- Quantum Computing (25)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (38)
- Software (1)
- Space Exploration (13)
- Statistics (1)
- Summit (35)
- Sustainable Energy (56)
- Transformational Challenge Reactor (4)
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.
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 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.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
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.
Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the facilities will complement each other’s technologies in the pursuit of science despite being nearly 2,500 miles apart.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.