Filter News
Area of Research
- (-) Biological Systems (2)
- (-) National Security (15)
- (-) Supercomputing (48)
- Advanced Manufacturing (6)
- Biology and Environment (67)
- Clean Energy (67)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (28)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (62)
- Materials for Computing (8)
- Neutron Science (20)
- Nuclear Science and Technology (40)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Big Data (23)
- (-) Bioenergy (13)
- (-) Coronavirus (16)
- (-) Microscopy (7)
- (-) Molten Salt (1)
- (-) Nuclear Energy (8)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Biology (14)
- Biomedical (18)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Environment (25)
- Exascale Computing (24)
- Frontier (29)
- Fusion (2)
- Grid (11)
- High-Performance Computing (42)
- Isotopes (2)
- Machine Learning (23)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Nanotechnology (11)
- National Security (36)
- Net Zero (1)
- Neutron Science (15)
- Partnerships (5)
- Physics (9)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (43)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
The Summit supercomputer, once the world’s most powerful, is set to be decommissioned by the end of 2024 to make way for the next-generation supercomputer. Over the summer, crews began dismantling Summit’s Alpine storage system, shredding over 40,000 hard drives with the help of ShredPro Secure, a local East Tennessee business. This partnership not only reduced costs and sped up the process but also established a more efficient and secure method for decommissioning large-scale computing systems in the future.
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
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.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Oak Ridge National Laboratory scientists identified a gene “hotspot” in the poplar tree that triggers dramatically increased root growth. The discovery supports development of better bioenergy crops and other plants that can thrive in difficult conditions while storing more carbon belowground.
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.