Filter News
Area of Research
- (-) Climate and Environmental Systems (2)
- (-) Supercomputing (13)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (38)
- Computer Science (1)
- Fusion Energy (1)
- Materials (12)
- Materials for Computing (2)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (5)
- (-) Environment (6)
- (-) Polymers (1)
- (-) Sustainable Energy (4)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (8)
- Bioenergy (3)
- Biology (2)
- Biomedical (8)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (29)
- Coronavirus (8)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (1)
- Exascale Computing (2)
- Frontier (1)
- Fusion (1)
- Grid (2)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (4)
- Materials (2)
- Materials Science (7)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (1)
- Neutron Science (8)
- Nuclear Energy (1)
- Physics (2)
- Quantum Science (8)
- Summit (13)
- Transportation (2)
Media Contacts
OAK RIDGE, Tenn., May 5, 2020 — By 2050, the United States will likely be exposed to a larger number of extreme climate events, including more frequent heat waves, longer droughts and more intense floods, which can lead to greater risks for human health, ecosystem stability and regional economies.
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.
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.