Filter News
Area of Research
- (-) National Security (17)
- (-) Neutron Science (9)
- (-) Nuclear Science and Technology (1)
- (-) Supercomputing (69)
- Biology and Environment (49)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (14)
- Materials for Computing (5)
- Quantum information Science (4)
News Topics
- (-) Biotechnology (2)
- (-) Climate Change (15)
- (-) Computer Science (51)
- (-) Frontier (13)
- (-) Machine Learning (15)
- (-) Polymers (1)
- (-) Quantum Science (11)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (4)
- Artificial Intelligence (26)
- Big Data (15)
- Bioenergy (6)
- Biology (8)
- Biomedical (10)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Coronavirus (8)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (3)
- Environment (19)
- Exascale Computing (12)
- Fossil Energy (1)
- Fusion (6)
- Grid (4)
- High-Performance Computing (22)
- Isotopes (2)
- Materials (10)
- Materials Science (15)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (23)
- Net Zero (1)
- Neutron Science (35)
- Nuclear Energy (20)
- Physics (5)
- Quantum Computing (10)
- Security (6)
- Simulation (10)
- Software (1)
- Space Exploration (3)
- Summit (21)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Outside the high-performance computing, or HPC, community, exascale may seem more like fodder for science fiction than a powerful tool for scientific research. Yet, when seen through the lens of real-world applications, exascale computing goes from ethereal concept to tangible reality with exceptional benefits.
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
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.
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
With the world’s first exascale supercomputer now fully open for scientific business, researchers can thank the early users who helped get the machine up to speed.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
Simulations performed on the Summit supercomputer at ORNL revealed new insights into the role of turbulence in mixing fluids and could open new possibilities for projecting climate change and studying fluid dynamics.