Filter News
Area of Research
- (-) Neutron Science (12)
- Biological Systems (1)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (48)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (29)
- Fusion Energy (6)
- Isotopes (2)
- Materials (26)
- Materials for Computing (3)
- National Security (22)
- Nuclear Science and Technology (16)
- Quantum information Science (1)
- Supercomputing (52)
News Topics
- (-) Artificial Intelligence (4)
- (-) Bioenergy (2)
- (-) Energy Storage (2)
- (-) Environment (3)
- (-) Machine Learning (3)
- (-) Nuclear Energy (1)
- (-) Security (1)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (1)
- Biology (1)
- Biomedical (5)
- Chemical Sciences (1)
- Clean Water (2)
- Computer Science (7)
- Coronavirus (3)
- Decarbonization (1)
- Fossil Energy (1)
- High-Performance Computing (1)
- Materials (5)
- Materials Science (7)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (2)
- National Security (1)
- Neutron Science (34)
- Physics (1)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (1)
- Space Exploration (1)
- Summit (2)
- Transportation (1)
Media Contacts
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.
Natural gas furnaces not only heat your home, they also produce a lot of pollution. Even modern high-efficiency condensing furnaces produce significant amounts of corrosive acidic condensation and unhealthy levels of nitrogen oxides
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.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
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.
Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
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.