Filter News
Area of Research
News Topics
- (-) Biology (4)
- (-) Space Exploration (1)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (10)
- Big Data (5)
- Bioenergy (5)
- Biomedical (6)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (4)
- Computer Science (17)
- Coronavirus (4)
- Cybersecurity (8)
- Decarbonization (3)
- Energy Storage (2)
- Environment (6)
- Fossil Energy (1)
- Grid (3)
- High-Performance Computing (4)
- Machine Learning (11)
- Materials (6)
- Materials Science (8)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (4)
- National Security (22)
- Neutron Science (33)
- Nuclear Energy (3)
- Physics (1)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (6)
- Security (5)
- Simulation (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
How did we get from stardust to where we are today? That’s the question NASA scientist Andrew Needham has pondered his entire career.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.