Filter News
Area of Research
- (-) Neutron Science (34)
- Advanced Manufacturing (8)
- Biology and Environment (70)
- Building Technologies (2)
- Clean Energy (154)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (2)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (2)
- Fusion and Fission (33)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (119)
- Materials for Computing (22)
- Mathematics (1)
- National Security (52)
- Nuclear Science and Technology (38)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
- Supercomputing (136)
News Topics
- (-) Computer Science (13)
- (-) Energy Storage (6)
- (-) Frontier (1)
- (-) Machine Learning (3)
- (-) Microscopy (3)
- (-) Nanotechnology (10)
- (-) National Security (2)
- (-) Nuclear Energy (3)
- (-) Polymers (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (2)
- Bioenergy (6)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (2)
- Environment (8)
- Fossil Energy (1)
- Fusion (1)
- High-Performance Computing (2)
- Materials (14)
- Materials Science (23)
- Mathematics (1)
- Neutron Science (99)
- Physics (9)
- Quantum Computing (1)
- Quantum Science (7)
- Security (2)
- Space Exploration (3)
- Summit (6)
- Transportation (5)
Media Contacts
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.
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Two scientists with the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Physical Society.
Led by ORNL and the University of Tennessee, Knoxville, a study of a solar-energy material with a bright future revealed a way to slow phonons, the waves that transport heat.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable