Filter News
Area of Research
- (-) Computer Science (15)
- (-) National Security (35)
- Advanced Manufacturing (3)
- Biology and Environment (106)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (119)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (3)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (82)
- Materials for Computing (12)
- Mathematics (1)
- Neutron Science (33)
- Nuclear Science and Technology (14)
- Quantum information Science (6)
- Sensors and Controls (1)
- Supercomputing (130)
News Topics
- (-) Computer Science (33)
- (-) Environment (6)
- (-) Frontier (1)
- (-) Grid (7)
- (-) Machine Learning (16)
- (-) Physics (1)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (17)
- Big Data (10)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (5)
- Coronavirus (2)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (3)
- Exascale Computing (2)
- Fusion (1)
- High-Performance Computing (6)
- Materials (2)
- Materials Science (4)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (5)
- Quantum Science (4)
- Security (11)
- Simulation (1)
- Summit (3)
- Sustainable Energy (4)
- Transportation (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.
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 force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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