Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (10)
- (-) Big Data (5)
- (-) Energy Storage (2)
- (-) Nanotechnology (4)
- (-) Polymers (1)
- (-) Space Exploration (1)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (4)
- Bioenergy (5)
- Biology (4)
- Biomedical (6)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (4)
- Computer Science (17)
- Coronavirus (4)
- Cybersecurity (8)
- Decarbonization (3)
- Environment (6)
- Fossil Energy (1)
- Grid (3)
- High-Performance Computing (4)
- Machine Learning (11)
- Materials (6)
- Materials Science (8)
- Mathematics (1)
- Microscopy (3)
- National Security (22)
- Neutron Science (33)
- Nuclear Energy (3)
- Physics (1)
- Quantum Computing (1)
- Quantum Science (6)
- Security (5)
- Simulation (1)
- Summit (2)
- Sustainable Energy (2)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
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.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy