Filter News
Area of Research
- (-) National Security (25)
- (-) Nuclear Science and Technology (5)
- Advanced Manufacturing (3)
- Biology and Environment (26)
- Clean Energy (115)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Materials (81)
- Materials for Computing (13)
- Neutron Science (103)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (58)
- Transportation Systems (2)
News Topics
- (-) Grid (6)
- (-) Machine Learning (12)
- (-) Neutron Science (9)
- (-) Quantum Science (1)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (12)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (4)
- Biology (5)
- Biomedical (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (21)
- Coronavirus (3)
- Cybersecurity (19)
- Decarbonization (3)
- Energy Storage (2)
- Environment (6)
- Exascale Computing (1)
- Frontier (1)
- Fusion (9)
- High-Performance Computing (4)
- Isotopes (5)
- Materials (2)
- Materials Science (6)
- Molten Salt (4)
- Nanotechnology (1)
- National Security (34)
- Nuclear Energy (40)
- Partnerships (4)
- Physics (3)
- Security (11)
- Simulation (1)
- Space Exploration (5)
- Summit (2)
- Sustainable Energy (4)
- Transformational Challenge Reactor (3)
Media Contacts
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
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
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.