Filter News
Area of Research
- (-) Nuclear Science and Technology (11)
- (-) Supercomputing (41)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Clean Energy (60)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (21)
- Fusion Energy (6)
- Isotopes (21)
- Materials (37)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (18)
- Quantum information Science (5)
News Type
News Topics
- (-) Biomedical (8)
- (-) Cybersecurity (5)
- (-) Energy Storage (4)
- (-) Environment (15)
- (-) Fusion (7)
- (-) Isotopes (4)
- (-) Quantum Science (11)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (5)
- Artificial Intelligence (24)
- Big Data (15)
- Bioenergy (4)
- Biology (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (13)
- Computer Science (52)
- Coronavirus (8)
- Decarbonization (4)
- Exascale Computing (16)
- Frontier (17)
- Grid (2)
- High-Performance Computing (28)
- Machine Learning (9)
- Materials (9)
- Materials Science (13)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (2)
- Nanotechnology (7)
- National Security (4)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (21)
- Physics (6)
- Quantum Computing (11)
- Security (2)
- Simulation (13)
- Software (1)
- Summit (23)
- Sustainable Energy (6)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
Hilda Klasky, an R&D staff member in the Scalable Biomedical Modeling group at ORNL, has been selected as a senior member of the Association of Computing Machinery, or ACM.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
For the third year in a row, the Quantum Science Center held its signature workforce development event: a comprehensive summer school for students and early-career scientists designed to facilitate conversations and hands-on activities related to
Environmental scientists at ORNL have recently expanded collaborations with minority-serving institutions and historically Black colleges and universities across the nation to broaden the experiences and skills of student scientists while bringing fresh insights to the national lab’s missions.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.