Filter News
Area of Research
- (-) Supercomputing (29)
- Advanced Manufacturing (14)
- Biology and Environment (16)
- Building Technologies (1)
- Clean Energy (97)
- Computer Science (2)
- Electricity and Smart Grid (2)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotopes (19)
- Materials (69)
- Materials for Computing (13)
- National Security (8)
- Neutron Science (16)
- Nuclear Science and Technology (7)
- Quantum information Science (3)
- Sensors and Controls (1)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Exascale Computing (13)
- (-) Grid (1)
- (-) Materials Science (9)
- (-) Microscopy (2)
- (-) Nanotechnology (6)
- (-) Space Exploration (2)
- Advanced Reactors (1)
- Artificial Intelligence (22)
- Big Data (17)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (62)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (23)
- Machine Learning (8)
- Materials (5)
- Mathematics (1)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Simulation (11)
- Software (1)
- Summit (27)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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 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.
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.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.