Filter News
Area of Research
- (-) Clean Energy (36)
- (-) Materials for Computing (5)
- (-) National Security (25)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (93)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (26)
- Materials (28)
- Mathematics (1)
- Neutron Science (20)
- Nuclear Science and Technology (5)
- Quantum information Science (2)
- Supercomputing (64)
News Type
News Topics
- (-) Biology (14)
- (-) Biomedical (8)
- (-) Clean Water (8)
- (-) Cybersecurity (24)
- (-) Isotopes (2)
- (-) Summit (7)
- 3-D Printing/Advanced Manufacturing (80)
- Advanced Reactors (6)
- Artificial Intelligence (18)
- Big Data (9)
- Bioenergy (28)
- Biotechnology (5)
- Buildings (35)
- Chemical Sciences (18)
- Climate Change (24)
- Composites (16)
- Computer Science (46)
- Coronavirus (17)
- Critical Materials (9)
- Decarbonization (33)
- Energy Storage (71)
- Environment (53)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (1)
- Fusion (2)
- Grid (43)
- High-Performance Computing (9)
- Hydropower (2)
- Machine Learning (17)
- Materials (43)
- Materials Science (40)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (12)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (38)
- Net Zero (3)
- Neutron Science (19)
- Nuclear Energy (10)
- Partnerships (16)
- Physics (2)
- Polymers (14)
- Quantum Computing (1)
- Quantum Science (6)
- Renewable Energy (1)
- Security (16)
- Simulation (3)
- Space Exploration (4)
- Statistics (1)
- Sustainable Energy (68)
- Transformational Challenge Reactor (3)
- Transportation (68)
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.
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.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
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.
ORNL and Tuskegee University have formed a partnership to develop new biodegradable materials for use in buildings, transportation and biomedical applications.
In experiment after experiment, the synthetic radioisotope actinium-225 has shown promise for targeting and attacking certain types of cancer cells.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
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.