Filter News
Area of Research
- (-) Clean Energy (45)
- (-) Materials Under Extremes (1)
- (-) Nuclear Science and Technology (7)
- Advanced Manufacturing (7)
- Biology and Environment (19)
- Computational Engineering (1)
- Computer Science (2)
- Energy Frontier Research Centers (1)
- Fusion and Fission (3)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (78)
- Materials Characterization (2)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (26)
- Quantum information Science (1)
- Supercomputing (43)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (29)
- (-) Composites (5)
- (-) Computer Science (10)
- (-) Cybersecurity (3)
- (-) Isotopes (3)
- (-) Materials (18)
- (-) Nanotechnology (5)
- (-) Physics (2)
- (-) Space Exploration (2)
- Advanced Reactors (4)
- Artificial Intelligence (4)
- Big Data (1)
- Bioenergy (14)
- Biology (5)
- Biomedical (4)
- Biotechnology (2)
- Buildings (8)
- Chemical Sciences (10)
- Clean Water (1)
- Climate Change (6)
- Coronavirus (4)
- Critical Materials (4)
- Decarbonization (10)
- Energy Storage (26)
- Environment (13)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (1)
- Fusion (2)
- Grid (9)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials Science (13)
- Mercury (1)
- Microscopy (4)
- Molten Salt (1)
- National Security (4)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (10)
- Partnerships (8)
- Polymers (5)
- Quantum Science (1)
- Renewable Energy (1)
- Security (3)
- Simulation (1)
- Summit (2)
- Sustainable Energy (24)
- Transformational Challenge Reactor (3)
- Transportation (17)
Media Contacts
A new deep-learning framework developed at ORNL is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of the results. The reduced costs for time, labor, maintenance and energy are expected to accelerate expansion of additive manufacturing, or 3D printing.
Researchers at ORNL and the University of Tennessee, Knoxville, discovered a key material needed for fast-charging lithium-ion batteries. The commercially relevant approach opens a potential pathway to improve charging speeds for electric vehicles.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
ORNL has been selected to lead an Energy Frontier Research Center, or EFRC, focused on polymer electrolytes for next-generation energy storage devices such as fuel cells and solid-state electric vehicle batteries.
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
ORNL and Tuskegee University have formed a partnership to develop new biodegradable materials for use in buildings, transportation and biomedical applications.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
Researchers at ORNL designed a novel polymer to bind and strengthen silica sand for binder jet additive manufacturing, a 3D-printing method used by industries for prototyping and part production.