Filter News
Area of Research
- (-) National Security (10)
- (-) Neutron Science (8)
- (-) Nuclear Science and Technology (1)
- Advanced Manufacturing (5)
- Biology and Environment (51)
- Building Technologies (2)
- Clean Energy (86)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Materials (55)
- Materials for Computing (12)
- Quantum information Science (2)
- Supercomputing (61)
News Type
News Topics
- (-) Big Data (8)
- (-) Frontier (2)
- (-) Microscopy (3)
- (-) Polymers (1)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (12)
- Artificial Intelligence (18)
- Bioenergy (10)
- Biology (10)
- Biomedical (16)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (2)
- Climate Change (5)
- Composites (1)
- Computer Science (33)
- Coronavirus (11)
- Cybersecurity (19)
- Decarbonization (5)
- Energy Storage (8)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (10)
- Grid (6)
- High-Performance Computing (6)
- Isotopes (5)
- Machine Learning (15)
- Materials (16)
- Materials Science (27)
- Mathematics (1)
- Molten Salt (4)
- Nanotechnology (11)
- National Security (35)
- Neutron Science (103)
- Nuclear Energy (41)
- Partnerships (5)
- Physics (11)
- Quantum Computing (1)
- Quantum Science (8)
- Security (12)
- Simulation (1)
- Space Exploration (8)
- Summit (7)
- Transformational Challenge Reactor (3)
- Transportation (7)
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.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.