Filter News
Area of Research
- (-) Supercomputing (15)
- Advanced Manufacturing (4)
- Biology and Environment (10)
- Clean Energy (42)
- Climate and Environmental Systems (2)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (11)
- Materials for Computing (2)
- National Security (4)
- Neutron Science (7)
- Nuclear Science and Technology (7)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Artificial Intelligence (5)
- (-) Bioenergy (3)
- (-) Environment (4)
- (-) Frontier (1)
- (-) Molten Salt (1)
- (-) National Security (1)
- Big Data (8)
- Biology (1)
- Biomedical (8)
- Chemical Sciences (1)
- Climate Change (1)
- Computer Science (29)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (1)
- Exascale Computing (2)
- Fusion (1)
- Grid (2)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (4)
- Materials (2)
- Materials Science (7)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (4)
- Neutron Science (8)
- Nuclear Energy (1)
- Physics (2)
- Polymers (1)
- Quantum Science (8)
- Summit (13)
- Sustainable Energy (4)
- Transportation (2)
Media Contacts
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
OAK RIDGE, Tenn., Feb. 19, 2020 — The U.S. Department of Energy’s Oak Ridge National Laboratory and the Tennessee Valley Authority have signed a memorandum of understanding to evaluate a new generation of flexible, cost-effective advanced nuclear reactors.
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
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.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.