Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Quantum Science (3)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (3)
- Biology (4)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (1)
- Clean Water (5)
- Climate Change (8)
- Composites (3)
- Computer Science (7)
- Coronavirus (3)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (5)
- Environment (13)
- Fusion (2)
- Grid (5)
- High-Performance Computing (5)
- Isotopes (2)
- ITER (2)
- Materials (17)
- Materials Science (7)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (2)
- Net Zero (1)
- Neutron Science (4)
- Polymers (1)
- Quantum Computing (1)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (20)
- Transportation (8)
Media Contacts
![ORNL’s particle entanglement machine is a precursor to the device that researchers at the University of Oklahoma are building, which will produce entangled quantum particles for quantum sensing to detect underground pipeline leaks. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/IMG_20170706_154618586AK_0.jpg?h=61873cd7&itok=0OWbsNbu)
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
![Transition metals stitched into graphene with an electron beam form promising quantum building blocks. Credit: Ondrej Dyck, Andrew Lupini and Jacob Swett/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/quantum-building-blocks.jpg?h=6e276780&itok=uf-gKRle)
Oak Ridge National Laboratory scientists demonstrated that an electron microscope can be used to selectively remove carbon atoms from graphene’s atomically thin lattice and stitch transition-metal dopant atoms in their place.
![ORNL has modeled the spike protein that binds the novel coronavirus to a human cell for better understanding of the dynamics of COVID-19. Credit: Stephan Irle/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/toc_notext_0.png?h=3474dc74&itok=zSrqLz3F)
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
![An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Manufacturing%20-%20Defect%20detection%202_0.jpg?h=259e5a75&itok=CwpLQv6U)
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.