Filter News
Area of Research
- (-) National Security (15)
- (-) Neutron Science (15)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (65)
- Biology and Soft Matter (1)
- Clean Energy (31)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (3)
- Fusion Energy (7)
- Isotopes (4)
- Materials (22)
- Materials for Computing (7)
- Mathematics (1)
- Nuclear Science and Technology (9)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Supercomputing (62)
News Type
News Topics
- (-) Biomedical (8)
- (-) Clean Water (2)
- (-) Climate Change (4)
- (-) Machine Learning (11)
- (-) Microscopy (2)
- (-) Quantum Science (3)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (11)
- Big Data (7)
- Bioenergy (5)
- Biology (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (18)
- Coronavirus (5)
- Cybersecurity (9)
- Decarbonization (3)
- Energy Storage (5)
- Environment (8)
- Fossil Energy (1)
- Grid (5)
- High-Performance Computing (4)
- Materials (9)
- Materials Science (11)
- Mathematics (1)
- Nanotechnology (4)
- National Security (22)
- Neutron Science (56)
- Nuclear Energy (4)
- Physics (2)
- Polymers (1)
- Quantum Computing (1)
- Security (6)
- Simulation (1)
- Space Exploration (2)
- Sustainable Energy (2)
- Transportation (3)
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.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
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.
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
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.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
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.