Filter News
Area of Research
- (-) Materials for Computing (4)
- (-) Neutron Science (10)
- Advanced Manufacturing (3)
- Biology and Environment (13)
- Biology and Soft Matter (1)
- Clean Energy (34)
- Computational Biology (1)
- Fusion and Fission (6)
- Isotopes (2)
- Materials (26)
- National Security (10)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (26)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Artificial Intelligence (4)
- (-) Chemical Sciences (2)
- (-) Microscopy (2)
- (-) Nanotechnology (5)
- (-) Polymers (2)
- (-) Security (1)
- (-) Space Exploration (1)
- Big Data (1)
- Bioenergy (3)
- Biology (2)
- Biomedical (5)
- Clean Water (2)
- Climate Change (1)
- Computer Science (10)
- Coronavirus (4)
- Decarbonization (2)
- Energy Storage (4)
- Environment (3)
- Fossil Energy (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials (7)
- Materials Science (10)
- Mathematics (1)
- National Security (1)
- Neutron Science (34)
- Nuclear Energy (1)
- Physics (1)
- Quantum Computing (1)
- Quantum Science (1)
- Simulation (1)
- Summit (2)
- Sustainable Energy (1)
- Transportation (3)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
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.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
Through a consortium of Department of Energy national laboratories, ORNL scientists are applying their expertise to provide solutions that enable the commercialization of emission-free hydrogen fuel cell technology for heavy-duty
When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.