Filter News
Area of Research
- (-) Neutron Science (12)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (100)
- Biology and Soft Matter (1)
- Clean Energy (56)
- Climate and Environmental Systems (4)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (19)
- Materials (37)
- Materials for Computing (7)
- Mathematics (1)
- National Security (13)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (42)
News Topics
- (-) Bioenergy (3)
- (-) Environment (4)
- (-) Machine Learning (3)
- (-) Nanotechnology (3)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (5)
- Big Data (1)
- Biology (2)
- Biomedical (8)
- Chemical Sciences (3)
- Clean Water (2)
- Computer Science (7)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (4)
- Fossil Energy (1)
- High-Performance Computing (1)
- Materials (8)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- National Security (1)
- Neutron Science (58)
- Nuclear Energy (2)
- Physics (2)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (1)
- Space Exploration (2)
- Summit (2)
- Transportation (2)
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.
Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.
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
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.
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory, Pacific Northwest National Laboratory and Washington State University teamed up to investigate the complex dynamics of low-water liquids that challenge nuclear waste processing at federal cleanup sites.