Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) National Security (14)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (20)
- Clean Energy (55)
- Computational Biology (2)
- Computer Science (3)
- Fusion and Fission (29)
- Fusion Energy (13)
- Isotopes (7)
- Materials (40)
- Materials for Computing (7)
- Neutron Science (60)
- Nuclear Science and Technology (28)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (37)
- Transportation Systems (2)
News Type
News Topics
- (-) Big Data (7)
- (-) Biomedical (1)
- (-) Neutron Science (2)
- (-) Nuclear Energy (2)
- (-) Security (6)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (7)
- Bioenergy (2)
- Biology (3)
- Biotechnology (1)
- Buildings (1)
- Clean Water (1)
- Climate Change (5)
- Computer Science (13)
- Coronavirus (2)
- Cybersecurity (9)
- Decarbonization (2)
- Energy Storage (1)
- Environment (5)
- Grid (5)
- High-Performance Computing (3)
- Machine Learning (9)
- Materials (1)
- Materials Science (2)
- Mathematics (1)
- Nanotechnology (1)
- National Security (23)
- Partnerships (1)
- Quantum Science (1)
- Simulation (1)
- Summit (2)
- Sustainable Energy (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.
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.
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
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.