Filter News
Area of Research
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (7)
- (-) Biomedical (5)
- (-) Fusion (4)
- (-) Machine Learning (6)
- (-) Neutron Science (5)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (7)
- Bioenergy (17)
- Biology (21)
- Biotechnology (2)
- Buildings (12)
- Chemical Sciences (6)
- Clean Water (5)
- Climate Change (24)
- Composites (3)
- Computer Science (13)
- Coronavirus (7)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (15)
- Energy Storage (8)
- Environment (30)
- Exascale Computing (4)
- Frontier (4)
- Grid (6)
- High-Performance Computing (11)
- Hydropower (8)
- Irradiation (1)
- Isotopes (2)
- ITER (1)
- Materials (19)
- Materials Science (7)
- Mercury (1)
- Microscopy (10)
- Nanotechnology (5)
- National Security (10)
- Net Zero (2)
- Nuclear Energy (3)
- Partnerships (2)
- Physics (3)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (5)
- Simulation (5)
- Space Exploration (3)
- Summit (5)
- Sustainable Energy (19)
- Transportation (5)
Media Contacts
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.
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
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.
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
Textile engineering researchers from North Carolina State University used neutrons at Oak Ridge National Laboratory to identify a special wicking mechanism in a type of cotton yarn that allows the fibers to control the flow of liquid across certain strands.