Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Clean Water (4)
- (-) Computer Science (5)
- (-) Coronavirus (4)
- (-) Cybersecurity (2)
- (-) Isotopes (1)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (3)
- Big Data (3)
- Bioenergy (10)
- Biology (11)
- Biomedical (3)
- Buildings (10)
- Chemical Sciences (4)
- Climate Change (9)
- Composites (3)
- Critical Materials (3)
- Decarbonization (8)
- Energy Storage (7)
- Environment (13)
- Exascale Computing (1)
- Grid (5)
- High-Performance Computing (5)
- Hydropower (5)
- Irradiation (1)
- Machine Learning (3)
- Materials (14)
- Materials Science (4)
- Mercury (1)
- Microscopy (7)
- Nanotechnology (2)
- National Security (8)
- Net Zero (2)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (2)
- Polymers (2)
- Quantum Science (2)
- Simulation (3)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (11)
- Transportation (4)
Media Contacts
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
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.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
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.
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
Researchers at Oak Ridge National Laboratory have empirically quantified the shifts in routine daytime activities, such as getting a morning coffee or takeaway dinner, following safer at home orders during the early days of the COVID-19 pandemic.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.