Filter News
Area of Research
- (-) Computational Engineering (2)
- (-) Neutron Science (10)
- Advanced Manufacturing (1)
- Biology and Environment (22)
- Building Technologies (1)
- Clean Energy (51)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Fusion and Fission (5)
- Fusion Energy (7)
- Materials (24)
- Materials for Computing (8)
- Mathematics (1)
- National Security (21)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (73)
News Topics
- (-) Computer Science (9)
- (-) Machine Learning (4)
- (-) Polymers (1)
- (-) Quantum Science (2)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (6)
- Big Data (2)
- Bioenergy (3)
- Biology (2)
- Biomedical (8)
- Chemical Sciences (3)
- Clean Water (3)
- Climate Change (1)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (4)
- Environment (5)
- Fossil Energy (1)
- High-Performance Computing (1)
- Materials (8)
- Materials Science (10)
- Mathematics (2)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (58)
- Nuclear Energy (2)
- Physics (2)
- Quantum Computing (1)
- Security (1)
- Space Exploration (2)
- Summit (2)
- Transportation (2)
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.
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.
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.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.
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.
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.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool