Filter News
Area of Research
News Topics
- (-) Critical Materials (4)
- (-) Machine Learning (15)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (11)
- Artificial Intelligence (26)
- Big Data (16)
- Bioenergy (28)
- Biology (28)
- Biomedical (11)
- Biotechnology (4)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (10)
- Climate Change (26)
- Composites (5)
- Computer Science (55)
- Coronavirus (9)
- Cybersecurity (12)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (33)
- Environment (55)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (12)
- Fusion (12)
- Grid (18)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (5)
- ITER (2)
- Materials (37)
- Materials Science (36)
- Mercury (2)
- Microscopy (18)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (17)
- Net Zero (2)
- Neutron Science (30)
- Nuclear Energy (27)
- Partnerships (8)
- Physics (16)
- Polymers (7)
- Quantum Computing (7)
- Quantum Science (19)
- Security (6)
- Simulation (6)
- Space Exploration (8)
- Summit (16)
- Sustainable Energy (33)
- Transformational Challenge Reactor (2)
- Transportation (22)
Media Contacts
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.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
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.
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.
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool