Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (3)
- Building Technologies (1)
- Clean Energy (33)
- Computer Science (1)
- Fusion and Fission (1)
- Fusion Energy (2)
- Materials (16)
- Materials for Computing (2)
- National Security (4)
- Neutron Science (4)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (22)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (22)
- (-) Computer Science (39)
- (-) Exascale Computing (6)
- (-) Grid (13)
- (-) Machine Learning (11)
- (-) Physics (11)
- (-) Quantum Science (15)
- (-) Transportation (20)
- Advanced Reactors (12)
- Artificial Intelligence (21)
- Big Data (11)
- Bioenergy (10)
- Biology (11)
- Biomedical (22)
- Biotechnology (3)
- Buildings (7)
- Chemical Sciences (6)
- Clean Water (5)
- Climate Change (14)
- Composites (3)
- Coronavirus (14)
- Critical Materials (2)
- Cybersecurity (4)
- Decarbonization (11)
- Education (1)
- Emergency (1)
- Energy Storage (21)
- Environment (28)
- Fossil Energy (2)
- Frontier (6)
- Fusion (17)
- High-Performance Computing (10)
- Isotopes (13)
- ITER (1)
- Materials (8)
- Materials Science (33)
- Mathematics (3)
- Mercury (2)
- Microscopy (9)
- Molten Salt (5)
- Nanotechnology (10)
- National Security (7)
- Net Zero (3)
- Neutron Science (22)
- Nuclear Energy (32)
- Partnerships (7)
- Polymers (8)
- Quantum Computing (5)
- Security (6)
- Simulation (9)
- Space Exploration (6)
- Summit (14)
- Sustainable Energy (22)
- Transformational Challenge Reactor (3)
Media Contacts
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
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 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.
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.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
The Quantum Voices series is designed to share the stories of the quantum researchers and technical experts behind the Quantum Science Center’s past, present and future accomplishments. Chengyun Hua is highlighted for this edition, talking about her role in the Quantum Science Center.
Simulations performed on the Summit supercomputer at ORNL are cutting through that time and expense by helping researchers digitally customize the ideal alloy.