Filter News
Area of Research
- (-) Fusion Energy (3)
- (-) National Security (2)
- (-) Supercomputing (4)
- Biology and Environment (3)
- Clean Energy (12)
- Climate and Environmental Systems (2)
- Computer Science (1)
- Materials (6)
- Materials for Computing (1)
- Neutron Science (2)
- Nuclear Science and Technology (3)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Topics
- (-) Environment (1)
- (-) Frontier (1)
- (-) Grid (1)
- (-) Machine Learning (1)
- (-) Materials Science (1)
- (-) Nuclear Energy (2)
- (-) Sustainable Energy (2)
- Advanced Reactors (3)
- Artificial Intelligence (1)
- Big Data (2)
- Biomedical (3)
- Computer Science (7)
- Coronavirus (2)
- Energy Storage (1)
- Fusion (3)
- Polymers (1)
- Summit (3)
Media Contacts
A developing method to gauge the occurrence of a nuclear reactor anomaly has the potential to save millions of dollars.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
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.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.