Filter News
Area of Research
- (-) Computational Biology (2)
- (-) National Security (3)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (15)
- Clean Energy (7)
- Fusion and Fission (4)
- Fusion Energy (6)
- Isotopes (4)
- Materials (19)
- Materials for Computing (4)
- Neutron Science (56)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (28)
News Topics
- (-) Biomedical (3)
- (-) Neutron Science (3)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (7)
- Big Data (6)
- Bioenergy (2)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (12)
- Coronavirus (3)
- Cybersecurity (9)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- Grid (5)
- High-Performance Computing (5)
- Machine Learning (8)
- Materials (1)
- Materials Science (2)
- Nanotechnology (1)
- National Security (22)
- Nuclear Energy (2)
- Quantum Science (1)
- Security (6)
- Simulation (1)
- Summit (3)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
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.
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.
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.
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.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.