Filter News
Area of Research
- (-) Advanced Manufacturing (1)
- (-) National Security (18)
- Biology and Environment (38)
- Clean Energy (31)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Materials (60)
- Materials for Computing (12)
- Neutron Science (23)
- Quantum information Science (9)
- Supercomputing (107)
News Topics
- (-) Big Data (6)
- (-) Exascale Computing (1)
- (-) Machine Learning (13)
- (-) Nanotechnology (1)
- (-) Quantum Science (1)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (2)
- Artificial Intelligence (13)
- Bioenergy (4)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Composites (3)
- Computer Science (20)
- Coronavirus (2)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (2)
- Environment (5)
- Frontier (1)
- Fusion (2)
- Grid (6)
- High-Performance Computing (4)
- Materials (8)
- Materials Science (8)
- National Security (34)
- Neutron Science (6)
- Nuclear Energy (7)
- Partnerships (4)
- Physics (1)
- Security (11)
- Simulation (1)
- Space Exploration (1)
- Sustainable Energy (8)
- Transformational Challenge Reactor (1)
- Transportation (2)
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.
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 researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
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.
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.
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.