Filter News
Area of Research
- (-) Supercomputing (18)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (21)
- Clean Energy (33)
- Computational Biology (1)
- Fusion and Fission (4)
- Isotopes (4)
- Materials (26)
- Materials for Computing (3)
- National Security (9)
- Neutron Science (12)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Biomedical (7)
- (-) Cybersecurity (2)
- (-) Nanotechnology (5)
- (-) Physics (4)
- Artificial Intelligence (21)
- Big Data (14)
- Bioenergy (3)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Decarbonization (3)
- Energy Storage (1)
- Environment (13)
- Exascale Computing (14)
- Frontier (14)
- Grid (1)
- High-Performance Computing (22)
- Isotopes (1)
- Machine Learning (7)
- Materials (4)
- Materials Science (8)
- Mathematics (1)
- Microscopy (2)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (2)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (1)
- Summit (22)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
Nuclear physicists at the Department of Energy’s Oak Ridge National Laboratory recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.