Filter News
Area of Research
News Topics
- (-) Machine Learning (23)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Artificial Intelligence (51)
- Big Data (30)
- Bioenergy (51)
- Biology (61)
- Biomedical (32)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (28)
- Clean Water (15)
- Climate Change (52)
- Composites (8)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (31)
- Fossil Energy (4)
- Frontier (27)
- Fusion (31)
- Grid (26)
- High-Performance Computing (49)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Materials (46)
- Materials Science (49)
- Mathematics (7)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (47)
- Net Zero (8)
- Neutron Science (54)
- Nuclear Energy (56)
- Partnerships (21)
- Physics (31)
- Polymers (8)
- Quantum Computing (23)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (34)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
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.
When reading the novel Jurassic Park as a teenager, Jerry Parks found the passages about gene sequencing and supercomputers fascinating, but never imagined he might someday pursue such futuristic-sounding science.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
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.
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.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.