Filter News
Area of Research
- (-) National Security (20)
- Advanced Manufacturing (5)
- Biology and Environment (49)
- Building Technologies (2)
- Clean Energy (82)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (22)
- Fusion Energy (11)
- Materials (39)
- Materials for Computing (14)
- Neutron Science (13)
- Nuclear Science and Technology (13)
- Quantum information Science (8)
- Sensors and Controls (1)
- Supercomputing (52)
News Type
News Topics
- (-) Big Data (6)
- (-) Coronavirus (2)
- (-) Fusion (1)
- (-) Grid (5)
- (-) Machine Learning (8)
- (-) Nanotechnology (1)
- (-) Quantum Science (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Bioenergy (3)
- Biology (4)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Climate Change (5)
- Computer Science (12)
- Cybersecurity (11)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (3)
- National Security (26)
- Neutron Science (4)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (1)
- Security (7)
- Simulation (1)
- Summit (2)
- Transportation (1)
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
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.
Oak Ridge National Laboratory’s high-resolution population distribution database, LandScan USA, became permanently available to researchers in time to aid the response to the novel coronavirus pandemic.
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.
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.