Filter News
Area of Research
- (-) Neutron Science (18)
- (-) Supercomputing (35)
- Advanced Manufacturing (3)
- Biology and Environment (35)
- Clean Energy (66)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (5)
- Isotopes (4)
- Materials (44)
- Materials for Computing (7)
- National Security (21)
- Nuclear Science and Technology (17)
- Quantum information Science (4)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Clean Water (2)
- (-) Coronavirus (7)
- (-) Energy Storage (3)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Materials (9)
- (-) Nanotechnology (6)
- (-) Nuclear Energy (3)
- (-) Quantum Science (10)
- (-) Security (2)
- (-) Sustainable Energy (3)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biomedical (10)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (47)
- Cybersecurity (2)
- Decarbonization (4)
- Environment (16)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (14)
- High-Performance Computing (21)
- Isotopes (1)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- National Security (3)
- Net Zero (1)
- Neutron Science (36)
- Physics (5)
- Polymers (1)
- Quantum Computing (10)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Transportation (4)
Media Contacts
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.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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.
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.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
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.