Filter News
Area of Research
- (-) Neutron Science (9)
- (-) Supercomputing (43)
- Advanced Manufacturing (1)
- Biology and Environment (33)
- Clean Energy (40)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (25)
- Fusion Energy (4)
- Isotopes (3)
- Materials (24)
- Materials for Computing (3)
- National Security (20)
- Nuclear Science and Technology (19)
- Quantum information Science (5)
News Topics
- (-) Artificial Intelligence (25)
- (-) Clean Water (2)
- (-) Grid (2)
- (-) Machine Learning (11)
- (-) Nuclear Energy (3)
- (-) Quantum Science (12)
- (-) Sustainable Energy (6)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Big Data (14)
- Bioenergy (6)
- Biology (9)
- Biomedical (11)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (13)
- Computer Science (54)
- Coronavirus (8)
- Cybersecurity (5)
- Decarbonization (5)
- Energy Storage (6)
- Environment (18)
- Exascale Computing (14)
- Fossil Energy (1)
- Frontier (16)
- Fusion (1)
- High-Performance Computing (26)
- Isotopes (1)
- Materials (15)
- Materials Science (19)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (4)
- Net Zero (1)
- Neutron Science (43)
- Physics (6)
- Polymers (1)
- Quantum Computing (11)
- Security (3)
- Simulation (12)
- Software (1)
- Space Exploration (3)
- Summit (22)
- Transportation (5)
Media Contacts
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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.
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.
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
Kübra Yeter-Aydeniz, a postdoctoral researcher, was recently named the Turkish Women in Science group’s “Scientist of the Week.”