Filter News
Area of Research
- (-) Materials (33)
- (-) Nuclear Science and Technology (16)
- (-) Supercomputing (29)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (28)
- Clean Energy (29)
- Computational Biology (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (6)
- Materials for Computing (5)
- National Security (5)
- Neutron Science (14)
- Quantum information Science (2)
News Topics
- (-) Biomedical (8)
- (-) Energy Storage (7)
- (-) Exascale Computing (12)
- (-) Materials Science (20)
- (-) Microscopy (7)
- (-) Nuclear Energy (24)
- (-) Polymers (4)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (4)
- Artificial Intelligence (21)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Environment (18)
- Frontier (13)
- Fusion (8)
- Grid (3)
- High-Performance Computing (20)
- Isotopes (7)
- Machine Learning (7)
- Materials (21)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (14)
- Partnerships (3)
- Physics (14)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (5)
- Transportation (7)
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.
A multidisciplinary team of scientists at ORNL has applied a laser-interference structuring, or LIS, technique that makes significant strides toward eliminating the need for hazardous chemicals in corrosion protection for vehicles.
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.
Oak Ridge National Laboratory expertise in fission and fusion has come together to form a new collaboration, the Fusion Energy Reactor Models Integrator, or FERMI
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.