Filter News
Area of Research
- (-) National Security (19)
- Advanced Manufacturing (7)
- Biology and Environment (18)
- Clean Energy (103)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Energy Sciences (1)
- Fusion and Fission (31)
- Fusion Energy (13)
- Isotopes (6)
- Materials (62)
- Materials for Computing (10)
- Neutron Science (19)
- Nuclear Science and Technology (26)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (46)
- Transportation Systems (2)
News Topics
- (-) Energy Storage (1)
- (-) Grid (5)
- (-) Machine Learning (8)
- (-) Materials (1)
- (-) Nuclear Energy (2)
- (-) Summit (2)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (6)
- Big Data (6)
- Bioenergy (2)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (11)
- Coronavirus (2)
- Cybersecurity (9)
- Decarbonization (2)
- Environment (4)
- High-Performance Computing (3)
- Materials Science (2)
- Nanotechnology (1)
- National Security (22)
- Neutron Science (2)
- Quantum Science (1)
- Security (6)
- Simulation (1)
- Sustainable Energy (2)
Media Contacts
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
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.