Filter News
Area of Research
- (-) Computational Engineering (2)
- (-) Fusion Energy (2)
- (-) National Security (13)
- Advanced Manufacturing (7)
- Biology and Environment (52)
- Building Technologies (2)
- Clean Energy (93)
- Computational Biology (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Materials (63)
- Materials for Computing (13)
- Neutron Science (102)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (69)
News Topics
- (-) Big Data (7)
- (-) Neutron Science (4)
- (-) Summit (4)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (8)
- Artificial Intelligence (13)
- Bioenergy (3)
- Biology (5)
- Biomedical (3)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (6)
- Computer Science (24)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (2)
- Environment (6)
- Exascale Computing (1)
- Frontier (2)
- Fusion (14)
- Grid (6)
- High-Performance Computing (5)
- Machine Learning (13)
- Materials (3)
- Materials Science (5)
- Mathematics (1)
- Nanotechnology (1)
- National Security (34)
- Nuclear Energy (15)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Transportation (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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
A team including researchers from the Department of Energy’s Oak Ridge National Laboratory has developed a digital tool to better monitor a condition known as Barrett’s esophagus, which affects more than 3 million people in the United States.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.