Filter News
Area of Research
- (-) Biology and Environment (21)
- (-) Nuclear Science and Technology (4)
- (-) Supercomputing (32)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Clean Energy (46)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotopes (16)
- Materials (30)
- Materials for Computing (4)
- National Security (18)
- Neutron Science (14)
- Quantum information Science (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Artificial Intelligence (23)
- (-) Biomedical (15)
- (-) Grid (1)
- (-) Isotopes (2)
- (-) Machine Learning (9)
- (-) Materials Science (12)
- (-) Microscopy (8)
- (-) Security (1)
- Advanced Reactors (4)
- Big Data (17)
- Bioenergy (26)
- Biology (43)
- Biotechnology (7)
- Buildings (2)
- Chemical Sciences (4)
- Clean Water (8)
- Climate Change (30)
- Composites (1)
- Computer Science (50)
- Coronavirus (10)
- Cybersecurity (2)
- Decarbonization (16)
- Energy Storage (2)
- Environment (63)
- Exascale Computing (14)
- Frontier (13)
- Fusion (6)
- High-Performance Computing (27)
- Hydropower (5)
- Materials (5)
- Mathematics (3)
- Mercury (6)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (4)
- Net Zero (2)
- Neutron Science (6)
- Nuclear Energy (18)
- Physics (5)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (10)
- Renewable Energy (1)
- Simulation (15)
- Software (1)
- Space Exploration (2)
- Summit (23)
- Sustainable Energy (17)
- Transformational Challenge Reactor (2)
- Transportation (3)
Media Contacts
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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 Wisconsin–Madison have discovered that genetically distinct populations within the same species of fungi can produce unique mixes of secondary metabolites, which are organic compounds with applications in
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.