Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (22)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (29)
- Materials for Computing (4)
- National Security (11)
- Neutron Science (11)
- Nuclear Science and Technology (7)
- Sensors and Controls (1)
- Supercomputing (33)
News Type
News Topics
- (-) Artificial Intelligence (34)
- (-) Energy Storage (43)
- (-) Environment (36)
- (-) Machine Learning (13)
- (-) Nuclear Energy (27)
- (-) Security (12)
- (-) Summit (21)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biomedical (17)
- 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)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (17)
- Grid (16)
- High-Performance Computing (30)
- Isotopes (18)
- ITER (2)
- 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)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (11)
- Quantum Science (28)
- Renewable Energy (1)
- Simulation (9)
- Space Exploration (3)
- Statistics (1)
- 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.
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.
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.
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
To speed the arrival of the next-generation solid-state batteries that will power electric vehicles and other technologies, scientists led by ORNL advanced the development of flexible, durable sheets of electrolytes. They used a polymer to create a strong yet springy thin film that binds electrolytic particles and at least doubles energy storage.
Seven entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
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.