Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (22)
- Building Technologies (1)
- Clean Energy (31)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (33)
- Materials for Computing (4)
- National Security (14)
- Neutron Science (17)
- Nuclear Science and Technology (2)
- Supercomputing (23)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (18)
- (-) Artificial Intelligence (15)
- (-) Bioenergy (22)
- (-) Computer Science (36)
- (-) Neutron Science (20)
- (-) Physics (19)
- (-) Polymers (10)
- (-) Transportation (17)
- Advanced Reactors (5)
- Big Data (10)
- Biology (29)
- Biomedical (10)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (6)
- Climate Change (27)
- Composites (6)
- Coronavirus (9)
- Critical Materials (8)
- Cybersecurity (10)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (27)
- Environment (42)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (10)
- Fusion (11)
- Grid (16)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (10)
- ITER (2)
- Machine Learning (10)
- Materials (37)
- Materials Science (26)
- Mercury (4)
- Microscopy (18)
- Molten Salt (4)
- Nanotechnology (18)
- National Security (17)
- Net Zero (2)
- Nuclear Energy (20)
- Partnerships (8)
- Quantum Computing (7)
- Quantum Science (12)
- Security (11)
- Simulation (6)
- Space Exploration (6)
- Summit (9)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
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.
Tomás Rush began studying the mysteries of fungi in fifth grade and spent his college intern days tromping through forests, swamps and agricultural lands searching for signs of fungal plant pathogens causing disease on host plants.
The Earth System Grid Federation, a multi-agency initiative that gathers and distributes data for top-tier projections of the Earth’s climate, is preparing a series of upgrades.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
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.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
When Bill Partridge started working with industry partner Cummins in 1997, he was a postdoctoral researcher specializing in applied optical diagnostics and new to Oak Ridge National Laboratory.
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.
Oak Ridge National Laboratory physicist Elizabeth “Libby” Johnson (1921-1996), one of the world’s first nuclear reactor operators, standardized the field of criticality safety with peers from ORNL and Los Alamos National Laboratory.