Filter News
Area of Research
- (-) Materials for Computing (3)
- (-) Neutron Science (2)
- Biology and Environment (14)
- Clean Energy (5)
- Computational Biology (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (1)
- Materials (2)
- National Security (1)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (5)
News Topics
- (-) Biomedical (1)
- (-) Polymers (2)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Biology (2)
- Chemical Sciences (3)
- Computer Science (4)
- Coronavirus (2)
- Energy Storage (1)
- Fusion (1)
- High-Performance Computing (1)
- Materials (3)
- Materials Science (6)
- Microscopy (2)
- Nanotechnology (3)
- Neutron Science (7)
- Quantum Computing (1)
- Transportation (1)
Media Contacts
![A material’s spins, depicted as red spheres, are probed by scattered neutrons. Applying an entanglement witness, such as the QFI calculation pictured, causes the neutrons to form a kind of quantum gauge. This gauge allows the researchers to distinguish between classical and quantum spin fluctuations. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-11/Quantum%20Illustration%20V3_0.png?h=2e111cc1&itok=Bth5wkD4)
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
![Pengfei Cao](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-P06488.jpg?h=8f9cfe54&itok=tWUEBi3Z)
Pengfei Cao, a polymer chemist at ORNL, has been chosen to receive a 2021 Young Investigator Award from the Polymeric Materials: Science and Engineering Division of the American Chemical Society, or ACS PMSE.
![An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
![Parans Paranthaman, a researcher in the Chemical Sciences Division at ORNL, coordinated research efforts to study the filter efficiency of the N95 material. His published results represent one of the first studies on polypropylene as it relates to COVID-19. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/2021-P01675.jpg?h=18f5407d&itok=B3UCcJxT)
When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.