Filter News
Area of Research
- (-) Computational Biology (1)
- (-) National Security (39)
- Advanced Manufacturing (11)
- Biology and Environment (62)
- Building Technologies (2)
- Clean Energy (135)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (11)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (118)
- Materials Characterization (1)
- Materials for Computing (20)
- Materials Under Extremes (1)
- Neutron Science (34)
- Nuclear Science and Technology (11)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (84)
- Transportation Systems (1)
News Topics
- (-) Cybersecurity (19)
- (-) Grid (6)
- (-) Machine Learning (12)
- (-) Materials Science (3)
- (-) Summit (3)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (6)
- Bioenergy (3)
- Biology (7)
- Biomedical (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (20)
- Coronavirus (3)
- Decarbonization (2)
- Energy Storage (2)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (6)
- Materials (2)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (5)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Transportation (2)
Media Contacts
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
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.
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.
Oak Ridge National Laboratory researchers have created a technology that more realistically emulates user activities to improve cyber testbeds and ultimately prevent cyberattacks.
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