Filter News
Area of Research
- (-) Building Technologies (2)
- (-) Fusion Energy (3)
- (-) Neutron Science (13)
- Advanced Manufacturing (14)
- Biology and Environment (36)
- Clean Energy (67)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (3)
- Materials (29)
- Materials for Computing (11)
- Mathematics (1)
- National Security (21)
- Nuclear Science and Technology (3)
- Quantum information Science (7)
- Supercomputing (83)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Big Data (1)
- (-) Computer Science (10)
- (-) Machine Learning (3)
- (-) Microscopy (2)
- (-) Quantum Science (2)
- (-) Summit (3)
- Advanced Reactors (6)
- Artificial Intelligence (5)
- Bioenergy (3)
- Biology (1)
- Biomedical (7)
- Buildings (3)
- Chemical Sciences (2)
- Clean Water (2)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (4)
- Environment (4)
- Fossil Energy (1)
- Frontier (1)
- Fusion (11)
- High-Performance Computing (1)
- Materials (9)
- Materials Science (12)
- Mathematics (1)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (56)
- Nuclear Energy (11)
- Physics (2)
- Polymers (1)
- Quantum Computing (1)
- Security (1)
- Space Exploration (2)
- Sustainable Energy (4)
- Transportation (2)
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
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.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
The ExOne Company, the global leader in industrial sand and metal 3D printers using binder jetting technology, announced it has reached a commercial license agreement with Oak Ridge National Laboratory to 3D print parts in aluminum-infiltrated boron carbide.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
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.