Filter News
Area of Research
- (-) Advanced Manufacturing (2)
- (-) Fusion Energy (5)
- (-) National Security (9)
- Biological Systems (1)
- Biology and Environment (21)
- Clean Energy (29)
- Computational Biology (1)
- Fusion and Fission (14)
- Isotopes (3)
- Materials (17)
- Materials for Computing (4)
- Neutron Science (35)
- Nuclear Science and Technology (7)
- Supercomputing (38)
News Topics
- (-) Big Data (4)
- (-) Biomedical (1)
- (-) Coronavirus (1)
- (-) Fusion (5)
- (-) Neutron Science (4)
- (-) Security (5)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (6)
- Bioenergy (2)
- Biology (3)
- Biotechnology (1)
- Buildings (1)
- Climate Change (4)
- Computer Science (9)
- Cybersecurity (8)
- Decarbonization (2)
- Environment (3)
- Grid (3)
- High-Performance Computing (3)
- Machine Learning (8)
- Materials (4)
- Materials Science (3)
- Nanotechnology (1)
- National Security (22)
- Nuclear Energy (6)
- Quantum Science (1)
- Simulation (1)
- Sustainable Energy (2)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
ORNL will lead three new DOE-funded projects designed to bring fusion energy to the grid on a rapid timescale.
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
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.
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