Filter News
Area of Research
- Advanced Manufacturing (7)
- Biology and Environment (16)
- Clean Energy (39)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (27)
- Materials for Computing (4)
- National Security (13)
- Neutron Science (7)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (24)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (44)
- (-) Climate Change (22)
- (-) Cybersecurity (17)
- (-) Frontier (14)
- (-) Isotopes (17)
- (-) Mercury (2)
- (-) Partnerships (26)
- (-) Space Exploration (3)
- Advanced Reactors (10)
- Artificial Intelligence (29)
- Big Data (8)
- Bioenergy (24)
- Biology (22)
- Biomedical (17)
- Biotechnology (7)
- Buildings (13)
- Chemical Sciences (29)
- Clean Water (1)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (18)
- Education (3)
- Element Discovery (1)
- Energy Storage (41)
- Environment (36)
- Exascale Computing (9)
- Fossil Energy (1)
- Fusion (14)
- Grid (15)
- High-Performance Computing (26)
- ITER (2)
- Machine Learning (13)
- Materials (59)
- Materials Science (50)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (25)
- Physics (24)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Statistics (2)
- Summit (20)
- Sustainable Energy (31)
- Transformational Challenge Reactor (4)
- Transportation (24)
Media Contacts
Building innovations from ORNL will be on display in Washington, D.C. on the National Mall June 7 to June 9, 2024, during the U.S. Department of Housing and Urban Development’s Innovation Housing Showcase. For the first time, ORNL’s real-time building evaluator was demonstrated outside of a laboratory setting and deployed for building construction.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
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.
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
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.
Four ORNL teams and one researcher were recognized for excellence in technology transfer and technology transfer innovation.
Ateios Systems licensed an ORNL technology for solvent-free battery component production using electron curing. Through Innovation Crossroads, Ateios continues to work with ORNL to enable readiness for production-quality battery components.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.