Filter News
Area of Research
- (-) Functional Materials for Energy (1)
- (-) National Security (39)
- Advanced Manufacturing (4)
- Biology and Environment (41)
- Building Technologies (1)
- Clean Energy (82)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (53)
- Materials for Computing (9)
- Mathematics (1)
- Neutron Science (24)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (125)
News Topics
- (-) Artificial Intelligence (13)
- (-) Computer Science (19)
- (-) Grid (7)
- (-) Machine Learning (13)
- (-) Nuclear Energy (5)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (5)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (3)
- Energy Storage (4)
- Environment (6)
- Exascale Computing (1)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (5)
- Materials (4)
- Materials Science (4)
- Nanotechnology (1)
- National Security (35)
- Neutron Science (4)
- Partnerships (5)
- Physics (1)
- Security (11)
- Simulation (2)
- Summit (2)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
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
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.