Filter News
Area of Research
- (-) Computational Biology (2)
- (-) National Security (4)
- Biological Systems (1)
- Biology and Environment (19)
- Clean Energy (71)
- Computational Engineering (1)
- Fusion and Fission (3)
- Isotopes (5)
- Materials (21)
- Materials for Computing (7)
- Neutron Science (16)
- Nuclear Science and Technology (2)
- Supercomputing (23)
- Transportation Systems (2)
News Type
News Topics
- (-) Biomedical (4)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (2)
- 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)
Media Contacts
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
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.
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.
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.