Filter News
Area of Research
- (-) Clean Energy (173)
- (-) National Security (36)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (40)
- Building Technologies (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (10)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (29)
- Materials (99)
- Materials for Computing (9)
- Neutron Science (37)
- Nuclear Science and Technology (15)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (53)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (80)
- (-) Biomedical (7)
- (-) Cybersecurity (25)
- (-) Energy Storage (72)
- (-) Grid (44)
- (-) Isotopes (1)
- (-) Machine Learning (18)
- (-) Physics (2)
- (-) Space Exploration (3)
- Advanced Reactors (7)
- Artificial Intelligence (19)
- Big Data (11)
- Bioenergy (28)
- Biology (14)
- Biotechnology (5)
- Buildings (38)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (25)
- Composites (17)
- Computer Science (41)
- Coronavirus (14)
- Critical Materials (9)
- Decarbonization (34)
- Environment (59)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (2)
- High-Performance Computing (10)
- Hydropower (2)
- Materials (36)
- Materials Science (29)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (9)
- National Security (37)
- Net Zero (3)
- Neutron Science (15)
- Nuclear Energy (11)
- Partnerships (16)
- Polymers (11)
- Quantum Science (3)
- Renewable Energy (1)
- Security (15)
- Simulation (4)
- Statistics (1)
- Summit (6)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (68)
Media Contacts
Researchers at Oak Ridge National Laboratory have designed architecture, software and control strategies for a futuristic EV truck stop that can draw megawatts of power and reduce carbon emissions.
Researchers at ORNL have developed a new method for producing a key component of lithium-ion batteries. The result is a more affordable battery from a faster, less wasteful process that uses less toxic material.
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
As the United States shifts away from fossil-fuel-burning cars and trucks, scientists at the Department of Energy’s Oak Ridge and Argonne national laboratories are exploring options for another form of transportation: trains. The research focuses on zero-carbon hydrogen and other low-carbon fuels as viable alternatives to diesel for the rail industry.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
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.