Filter News
Area of Research
- Biology and Environment (11)
- Clean Energy (10)
- Computational Engineering (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (20)
- Materials for Computing (2)
- National Security (5)
- Neutron Science (14)
- Nuclear Science and Technology (6)
- Supercomputing (30)
News Type
News Topics
- (-) Advanced Reactors (11)
- (-) Biomedical (17)
- (-) Frontier (15)
- (-) High-Performance Computing (30)
- (-) Physics (24)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (45)
- Artificial Intelligence (34)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (32)
- Clean Water (2)
- Climate Change (22)
- Composites (11)
- Computer Science (61)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Fusion (17)
- Grid (16)
- Isotopes (18)
- ITER (2)
- Machine Learning (13)
- Materials (60)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (51)
- Nuclear Energy (27)
- Partnerships (29)
- Polymers (12)
- Quantum Computing (11)
- Quantum Science (28)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
Kate Evans, director for the Computational Sciences and Engineering Division at ORNL, has been awarded the 2024 Society for Industrial and Applied Mathematicians Activity Group on Mathematics of Planet Earth Prize.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.