Filter News
Area of Research
- (-) National Security (35)
- (-) Nuclear Science and Technology (4)
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (62)
- Biology and Soft Matter (1)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (5)
- Isotopes (7)
- Materials (60)
- Materials for Computing (10)
- Neutron Science (81)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (106)
News Type
News Topics
- (-) Artificial Intelligence (12)
- (-) Biomedical (3)
- (-) Climate Change (5)
- (-) Computer Science (19)
- (-) Machine Learning (12)
- (-) Neutron Science (6)
- (-) Security (10)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (7)
- Big Data (4)
- Bioenergy (4)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Coronavirus (2)
- Cybersecurity (17)
- Decarbonization (3)
- Energy Storage (1)
- Environment (4)
- Exascale Computing (1)
- Frontier (1)
- Fusion (8)
- Grid (4)
- High-Performance Computing (4)
- Isotopes (4)
- Materials (2)
- Materials Science (6)
- Molten Salt (1)
- Nanotechnology (1)
- National Security (34)
- Nuclear Energy (27)
- Partnerships (5)
- Physics (3)
- Quantum Science (1)
- Simulation (1)
- Space Exploration (3)
- Summit (1)
- Sustainable Energy (3)
- Transformational Challenge Reactor (3)
- 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.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
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.
Horizon31, LLC has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
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.