Filter News
Area of Research
- (-) Biological Systems (2)
- (-) Climate and Environmental Systems (4)
- (-) Computational Engineering (1)
- (-) Materials (38)
- (-) National Security (20)
- Advanced Manufacturing (3)
- Biology and Environment (97)
- Biology and Soft Matter (1)
- Clean Energy (114)
- Computer Science (3)
- Electricity and Smart Grid (2)
- Fusion and Fission (5)
- Fusion Energy (1)
- Materials for Computing (9)
- Mathematics (1)
- Neutron Science (11)
- Nuclear Science and Technology (4)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (40)
- Transportation Systems (2)
News Type
News Topics
- (-) Bioenergy (7)
- (-) Composites (6)
- (-) Cybersecurity (9)
- (-) Environment (16)
- (-) Grid (7)
- (-) Molten Salt (1)
- (-) Nanotechnology (16)
- (-) Transportation (11)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (2)
- Artificial Intelligence (11)
- Big Data (8)
- Biology (4)
- Biomedical (6)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (11)
- Clean Water (4)
- Climate Change (7)
- Computer Science (22)
- Coronavirus (4)
- Critical Materials (5)
- Decarbonization (4)
- Energy Storage (14)
- Exascale Computing (1)
- Fusion (4)
- High-Performance Computing (4)
- Isotopes (8)
- Machine Learning (10)
- Materials (32)
- Materials Science (36)
- Mathematics (2)
- Microscopy (12)
- National Security (22)
- Neutron Science (14)
- Nuclear Energy (14)
- Partnerships (3)
- Physics (13)
- Polymers (10)
- Quantum Computing (2)
- Quantum Science (2)
- Security (6)
- Simulation (1)
- Space Exploration (2)
- Summit (3)
- Sustainable Energy (7)
- Transformational Challenge Reactor (2)
Media Contacts
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.
Oak Ridge National Laboratory researchers have created a technology that more realistically emulates user activities to improve cyber testbeds and ultimately prevent cyberattacks.