Filter News
Area of Research
- (-) Computational Biology (2)
- (-) National Security (4)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (25)
- Building Technologies (1)
- Clean Energy (82)
- Computational Engineering (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (5)
- Materials (28)
- Materials for Computing (4)
- Neutron Science (16)
- Nuclear Science and Technology (6)
- Supercomputing (21)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Biomedical (4)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (6)
- Bioenergy (3)
- Biology (7)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (20)
- Coronavirus (3)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (6)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (5)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Summit (3)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
Craig Blue, Defense Manufacturing Program Director at the Department of Energy’s Oak Ridge National Laboratory, was recently elected to a two-year term on the Institute for Advanced Composites Manufacturing Innovation Consortium Council, a body of professionals from academia, state governments, and national laboratories that provides strategic direction and oversight to IACMI.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.