Filter News
Area of Research
- (-) Computer Science (2)
- (-) National Security (4)
- Biology and Environment (25)
- Building Technologies (3)
- Clean Energy (44)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (7)
- Materials for Computing (1)
- Neutron Science (7)
- Supercomputing (48)
News Type
News Topics
- (-) Biotechnology (1)
- (-) Buildings (2)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (17)
- Big Data (10)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (33)
- Coronavirus (2)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (3)
- Environment (6)
- Exascale Computing (2)
- Frontier (1)
- Fusion (1)
- Grid (7)
- High-Performance Computing (6)
- Machine Learning (16)
- Materials (2)
- Materials Science (4)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Quantum Science (4)
- Security (11)
- Simulation (1)
- Sustainable Energy (4)
- 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.
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.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.