Filter News
Area of Research
- (-) Clean Energy (32)
- (-) Supercomputing (22)
- Biology and Environment (21)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (5)
- Isotopes (16)
- Materials (26)
- Materials for Computing (1)
- National Security (34)
- Neutron Science (10)
- Nuclear Science and Technology (8)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Clean Water (3)
- (-) Composites (2)
- (-) Coronavirus (13)
- (-) Cybersecurity (7)
- (-) Grid (15)
- (-) Machine Learning (7)
- (-) Mathematics (2)
- (-) National Security (4)
- (-) Physics (3)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (26)
- Artificial Intelligence (22)
- Big Data (14)
- Bioenergy (12)
- Biology (9)
- Biomedical (9)
- Biotechnology (2)
- Buildings (15)
- Chemical Sciences (4)
- Climate Change (19)
- Computer Science (49)
- Critical Materials (1)
- Decarbonization (20)
- Energy Storage (24)
- Environment (30)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Materials (9)
- Materials Science (13)
- Mercury (1)
- Microelectronics (1)
- Microscopy (4)
- Nanotechnology (6)
- Net Zero (2)
- Neutron Science (9)
- Nuclear Energy (4)
- Partnerships (4)
- Polymers (1)
- Quantum Computing (10)
- Quantum Science (11)
- Security (3)
- Simulation (10)
- Software (1)
- Summit (22)
- Sustainable Energy (17)
- Transportation (24)
Media Contacts
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.
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.
Having co-developed the power electronics behind ORNL’s compact, high-level wireless power technology for automobiles, Erdem Asa is looking to the skies to apply the same breakthrough to aviation.
When Hope Corsair’s new colleagues at Oak Ridge National Laboratory ask her about her area of expertise, she tells them it’s “context.” Her goal as an energy economist is to make sure ORNL’s breakthroughs have the widest possible
Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating
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.
When Kashif Nawaz looks at a satellite map of the U.S., he sees millions of buildings that could hold a potential solution for the capture of carbon dioxide, a plentiful gas that can be harmful when excessive amounts are released into the atmosphere, raising the Earth’s temperature.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
The University of Texas at San Antonio (UTSA) has formally launched the Cybersecurity Manufacturing Innovation Institute (CyManII), a $111 million public-private partnership.