Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (32)
- Clean Energy (22)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (27)
- Fusion Energy (6)
- Isotopes (4)
- Materials (35)
- Materials for Computing (5)
- National Security (27)
- Neutron Science (13)
- Nuclear Science and Technology (16)
- Quantum information Science (1)
- Supercomputing (30)
News Type
News Topics
- (-) Bioenergy (49)
- (-) Composites (6)
- (-) Frontier (23)
- (-) Fusion (28)
- (-) Materials Science (42)
- (-) National Security (33)
- (-) Net Zero (8)
- (-) Nuclear Energy (52)
- (-) Partnerships (14)
- (-) Physics (26)
- (-) Space Exploration (12)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Artificial Intelligence (45)
- Big Data (21)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Exascale Computing (24)
- Fossil Energy (4)
- Grid (23)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (25)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- Neutron Science (46)
- Polymers (8)
- Quantum Computing (19)
- Quantum Science (29)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
Momentum for manufacturing innovation in the United States got a boost during the inaugural MDF Innovation Days, held recently at the U.S. Department of Energy Manufacturing Demonstration Facility at Oak Ridge National Laboratory.
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
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 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.
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.
Four ORNL researchers traveled to Warsaw, Poland, during the first week of April to support the opening of Poland’s first Clean Energy Training Center, a regional hub dedicated to providing workforce development and training to expand new nuclear
Researchers at ORNL are using a machine-learning model to answer ‘what if’ questions stemming from major events that impact large numbers of people. By simulating an event, such as extreme weather, researchers can see how people might respond to adverse situations, and those outcomes can be used to improve emergency planning.