Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (34)
- Computer Science (2)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (50)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- National Security (8)
- Neutron Science (16)
- Nuclear Science and Technology (1)
- Supercomputing (22)
News Type
News Topics
- (-) Artificial Intelligence (32)
- (-) Energy Storage (43)
- (-) Materials Science (51)
- (-) Statistics (1)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Big Data (7)
- Bioenergy (23)
- Biology (21)
- Biomedical (17)
- Biotechnology (7)
- Buildings (14)
- Chemical Sciences (30)
- Clean Water (2)
- Climate Change (22)
- Composites (10)
- Computer Science (59)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Decarbonization (19)
- Education (3)
- Element Discovery (1)
- Environment (35)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (15)
- Grid (15)
- High-Performance Computing (29)
- Isotopes (18)
- ITER (2)
- Machine Learning (13)
- Materials (58)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (50)
- Nuclear Energy (27)
- Partnerships (29)
- Physics (24)
- Polymers (12)
- Quantum Computing (10)
- Quantum Science (27)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
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.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
Researchers at ORNL are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide.
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.
The Department of Energy’s Oak Ridge National Laboratory is providing national leadership in a new collaboration among five national laboratories to accelerate U.S. production of clean hydrogen fuel cells and electrolyzers.
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.