Filter News
Area of Research
- Biology and Environment (8)
- Clean Energy (17)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (18)
- Fusion Energy (4)
- Isotopes (2)
- Materials (29)
- Materials for Computing (3)
- National Security (13)
- Neutron Science (7)
- Nuclear Science and Technology (17)
- Quantum information Science (1)
- Supercomputing (17)
News Type
News Topics
- (-) Grid (23)
- (-) Machine Learning (21)
- (-) Molten Salt (1)
- (-) Nanotechnology (16)
- (-) Nuclear Energy (52)
- (-) Physics (26)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Artificial Intelligence (45)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Composites (6)
- 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)
- Frontier (23)
- Fusion (28)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (25)
- ITER (2)
- Materials (40)
- Materials Science (42)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- National Security (33)
- Net Zero (8)
- Neutron Science (46)
- Partnerships (14)
- Polymers (8)
- Quantum Computing (18)
- Quantum Science (28)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transportation (27)
Media Contacts
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.
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.
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
ORNL scientists contributed to a DOE technical study that found transitioning coal plants to nuclear power plants would create high-paying jobs at the converted plants and hundreds of new jobs locally.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.
ORNL researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
SkyNano, an Innovation Crossroads alumnus, held a ribbon-cutting for their new facility. SkyNano exemplifies using DOE resources to build a successful clean energy company, making valuable carbon nanotubes from waste CO2.