Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (3)
- (-) Biomedical (2)
- (-) Materials Science (5)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (1)
- Biology (2)
- Chemical Sciences (1)
- Computer Science (6)
- Coronavirus (2)
- Cybersecurity (3)
- Environment (1)
- Fusion (1)
- High-Performance Computing (1)
- Materials (3)
- Microscopy (1)
- Nanotechnology (2)
- National Security (4)
- Neutron Science (14)
- Physics (1)
- Quantum Computing (1)
- Quantum Science (3)
- Space Exploration (1)
- Transportation (1)
Media Contacts
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.
ASM International recently elected three researchers from ORNL as 2021 fellows. Selected were Beth Armstrong and Govindarajan Muralidharan, both from ORNL’s Material Sciences and Technology Division, and Andrew Payzant from the Neutron Scattering Division.
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
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.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.