Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (18)
- Clean Energy (65)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (12)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (29)
- Materials for Computing (1)
- Mathematics (1)
- National Security (35)
- Neutron Science (8)
- Nuclear Science and Technology (38)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Sensors and Controls (2)
- Supercomputing (20)
News Topics
- (-) Advanced Reactors (35)
- (-) Clean Water (31)
- (-) Cybersecurity (35)
- (-) Grid (67)
- (-) Nuclear Energy (111)
- (-) Security (26)
- 3-D Printing/Advanced Manufacturing (128)
- Artificial Intelligence (102)
- Big Data (62)
- Bioenergy (92)
- Biology (102)
- Biomedical (62)
- Biotechnology (24)
- Buildings (67)
- Chemical Sciences (74)
- Climate Change (106)
- Composites (30)
- Computer Science (199)
- Coronavirus (46)
- Critical Materials (29)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (201)
- Exascale Computing (44)
- Fossil Energy (6)
- Frontier (46)
- Fusion (59)
- High-Performance Computing (94)
- Hydropower (11)
- Irradiation (3)
- Isotopes (57)
- ITER (7)
- Machine Learning (51)
- Materials (150)
- Materials Science (149)
- Mathematics (10)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (73)
- Net Zero (14)
- Neutron Science (140)
- Partnerships (51)
- Physics (64)
- Polymers (33)
- Quantum Computing (39)
- Quantum Science (73)
- Renewable Energy (2)
- Simulation (53)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (61)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (99)
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 new technical collaboration program at the Department of Energy’s Oak Ridge National Laboratory will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOE’s Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.
U2opia Technology has licensed Situ and Heartbeat, a package of technologies from the Department of Energy’s Oak Ridge National Laboratory that offer a new method for advanced cybersecurity monitoring in real time.
Researchers for the first time documented the specific chemistry dynamics and structure of high-temperature liquid uranium trichloride salt, a potential nuclear fuel source for next-generation reactors.
Researchers at ORNL recently demonstrated an automated drone-inspection technology at EPB of Chattanooga that will allow utilities to more quickly and easily check remote power lines for malfunctions, catching problems before outages occur.
Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
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.