Filter News
Area of Research
- (-) National Security (10)
- (-) Nuclear Science and Technology (18)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (22)
- Clean Energy (31)
- Computational Biology (1)
- Fusion and Fission (27)
- Fusion Energy (6)
- Isotopes (5)
- Materials (31)
- Materials for Computing (4)
- Neutron Science (36)
- Quantum information Science (4)
- Supercomputing (33)
News Type
News Topics
- (-) Big Data (4)
- (-) Biomedical (1)
- (-) Biotechnology (1)
- (-) Fusion (6)
- (-) Neutron Science (3)
- (-) Nuclear Energy (19)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (4)
- Artificial Intelligence (6)
- Bioenergy (2)
- Biology (3)
- Buildings (1)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Isotopes (2)
- Machine Learning (8)
- Materials (1)
- Materials Science (4)
- Molten Salt (1)
- Nanotechnology (1)
- National Security (23)
- Physics (1)
- Security (5)
- Simulation (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (1)
- Transformational Challenge Reactor (2)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
JungHyun Bae is a nuclear scientist studying applications of particles that have some beneficial properties: They are everywhere, they are unlimited, they are safe.
Stephen Dahunsi’s desire to see more countries safely deploy nuclear energy is personal. Growing up in Nigeria, he routinely witnessed prolonged electricity blackouts as a result of unreliable energy supplies. It’s a problem he hopes future generations won’t have to experience.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
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.
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
Oak Ridge National Laboratory expertise in fission and fusion has come together to form a new collaboration, the Fusion Energy Reactor Models Integrator, or FERMI
Radioactive isotopes power some of NASA’s best-known spacecraft. But predicting how radiation emitted from these isotopes might affect nearby materials is tricky