
Filter News
Area of Research
- Advanced Manufacturing (12)
- Biology and Environment (14)
- Building Technologies (3)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Science (60)
- Energy Sciences (2)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (4)
- Materials (20)
- Materials for Computing (5)
- National Security (6)
- Neutron Science (6)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (10)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (34)
- (-) Big Data (17)
- (-) Biomedical (11)
- (-) Coronavirus (11)
- (-) Cybersecurity (3)
- (-) Energy Storage (32)
- (-) Grid (22)
- (-) Isotopes (5)
- (-) Physics (4)
- (-) Security (1)
- (-) Space Exploration (10)
- Advanced Reactors (13)
- Artificial Intelligence (16)
- Bioenergy (17)
- Biology (21)
- Biotechnology (4)
- Buildings (21)
- Chemical Sciences (13)
- Clean Water (14)
- Composites (11)
- Computer Science (42)
- Critical Materials (12)
- Emergency (1)
- Environment (48)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (12)
- Hydropower (6)
- Irradiation (2)
- ITER (3)
- Machine Learning (14)
- Materials (36)
- Materials Science (34)
- Mathematics (3)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (2)
- Polymers (10)
- Quantum Computing (5)
- Quantum Science (11)
- Simulation (9)
- Statistics (1)
- Summit (8)
- Transportation (36)
Media Contacts

Scientists at ORNL have developed a vacuum-assisted extrusion method that reduces internal porosity by up to 75% in large-scale 3D-printed polymer parts. This new technique addresses the critical issue of porosity in large-scale prints but also paves the way for stronger composites.

Researchers at Oak Ridge National Laboratory have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center.

Scientists at ORNL are studying the failure mechanisms of a new solid electrolyte battery to enhance long-term storage for renewable energy, aiming to make wind and solar power more reliable for the electric grid.

Oak Ridge National Laboratory researchers are using a new bioderived material to 3D print custom roosting structures for endangered bats.

Researchers have developed and 3D printed the lightest crack-free alloy capable of operating without melting at temperatures above 2,400 degrees Fahrenheit, which could enable additively manufactured turbine blades to better handle extreme temperatures, reducing the carbon footprint of gas turbine engines such as those used in airplanes.

Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.

Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.

Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.

Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.

ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.