Filter News
Area of Research
- (-) Neutron Science (10)
- Biology and Environment (13)
- Clean Energy (34)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (4)
- Isotopes (17)
- Materials (35)
- Materials for Computing (5)
- National Security (10)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (31)
News Topics
- (-) Artificial Intelligence (4)
- (-) Energy Storage (2)
- (-) Microscopy (1)
- (-) Nanotechnology (2)
- (-) Physics (1)
- (-) Polymers (1)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (6)
- Chemical Sciences (2)
- Clean Water (2)
- Computer Science (7)
- Coronavirus (3)
- Decarbonization (1)
- Environment (3)
- Fossil Energy (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials (5)
- Materials Science (7)
- Mathematics (1)
- National Security (1)
- Neutron Science (35)
- Nuclear Energy (1)
- Quantum Computing (1)
- Quantum Science (1)
- Security (1)
- Summit (2)
- Transportation (1)
Media Contacts
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Few things carry the same aura of mystery as dark matter. The name itself radiates secrecy, suggesting something hidden in the shadows of the Universe.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
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.
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.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Biological membranes, such as the “walls” of most types of living cells, primarily consist of a double layer of lipids, or “lipid bilayer,” that forms the structure, and a variety of embedded and attached proteins with highly specialized functions, including proteins that rapidly and selectively transport ions and molecules in and out of the cell.
Two of the researchers who share the Nobel Prize in Chemistry announced Wednesday—John B. Goodenough of the University of Texas at Austin and M. Stanley Whittingham of Binghamton University in New York—have research ties to ORNL.
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.