Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (54)
- Clean Energy (105)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Fusion and Fission (4)
- Fusion Energy (7)
- Isotopes (3)
- Materials (35)
- Materials for Computing (5)
- Mathematics (1)
- National Security (10)
- Neutron Science (17)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (30)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (24)
- (-) Bioenergy (39)
- (-) Biomedical (28)
- (-) Climate Change (46)
- (-) Environment (81)
- (-) Grid (37)
- (-) Molten Salt (8)
- (-) Transportation (61)
- 3-D Printing/Advanced Manufacturing (76)
- Artificial Intelligence (48)
- Big Data (24)
- Biology (40)
- Biotechnology (11)
- Buildings (35)
- Chemical Sciences (43)
- Clean Water (15)
- Composites (20)
- Computer Science (101)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (74)
- Exascale Computing (11)
- Fossil Energy (2)
- Frontier (16)
- Fusion (26)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Machine Learning (25)
- Materials (95)
- Materials Science (87)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Partnerships (30)
- Physics (28)
- Polymers (21)
- Quantum Computing (15)
- Quantum Science (38)
- Renewable Energy (1)
- Security (13)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
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.
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.
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.
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 have demonstrated that small molecular tweaks to surfaces can improve absorption technology for direct air capture of carbon dioxide. The team added a charged polymer layer to an amino acid solution, and then, through spectroscopy and simulation, found that the charged layer can hold amino acids at its surface.
A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples.
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.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.