Filter News
Area of Research
- (-) Materials (36)
- (-) Mathematics (1)
- (-) National Security (18)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (79)
- Biology and Soft Matter (1)
- Clean Energy (103)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (6)
- Fusion Energy (6)
- Materials for Computing (7)
- Neutron Science (61)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (45)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Artificial Intelligence (10)
- (-) Bioenergy (5)
- (-) Clean Water (4)
- (-) Climate Change (5)
- (-) Grid (7)
- (-) Neutron Science (15)
- (-) Transportation (11)
- 3-D Printing/Advanced Manufacturing (11)
- Big Data (7)
- Biology (3)
- Biomedical (5)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (12)
- Composites (6)
- Computer Science (20)
- Coronavirus (4)
- Critical Materials (5)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (15)
- Environment (12)
- Exascale Computing (1)
- Fusion (5)
- High-Performance Computing (4)
- Isotopes (8)
- Machine Learning (9)
- Materials (33)
- Materials Science (41)
- Mathematics (2)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (18)
- National Security (23)
- Nuclear Energy (15)
- Partnerships (3)
- Physics (15)
- Polymers (11)
- Quantum Computing (2)
- Quantum Science (2)
- Security (6)
- Simulation (1)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (7)
- Transformational Challenge Reactor (2)
Media Contacts
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
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
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.
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
Marcel Demarteau is director of the Physics Division at the Department of Energy’s Oak Ridge National Laboratory. For topics from nuclear structure to astrophysics, he shapes ORNL’s physics research agenda.