Filter News
Area of Research
- (-) National Security (6)
- (-) Neutron Science (4)
- (-) Nuclear Science and Technology (1)
- Advanced Manufacturing (3)
- Biology and Environment (16)
- Clean Energy (23)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (7)
- Fusion and Fission (2)
- Fusion Energy (2)
- Materials (27)
- Materials for Computing (2)
- Quantum information Science (2)
- Supercomputing (29)
- Transportation Systems (1)
News Topics
- (-) Computer Science (8)
- (-) Materials Science (3)
- (-) Microscopy (1)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (3)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (3)
- Biology (2)
- Biomedical (3)
- Biotechnology (1)
- Buildings (1)
- Clean Water (1)
- Climate Change (4)
- Coronavirus (1)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (3)
- Environment (4)
- Fusion (1)
- Grid (3)
- High-Performance Computing (1)
- Isotopes (1)
- Machine Learning (4)
- Molten Salt (3)
- Nanotechnology (1)
- National Security (7)
- Neutron Science (18)
- Nuclear Energy (12)
- Physics (1)
- Quantum Science (1)
- Security (3)
- Simulation (1)
- Space Exploration (2)
- Summit (1)
- Transportation (2)
Media Contacts
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
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.
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.
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory have new experimental evidence and a predictive theory that solves a long-standing materials science mystery: why certain crystalline materials shrink when heated.
Scientists have discovered a way to alter heat transport in thermoelectric materials, a finding that may ultimately improve energy efficiency as the materials
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.